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Semantic ScholarCoRR, August 2018
- Zheng Dong, Cong Liu:
New Analysis Techniques for Supporting Hard Real-Time Sporadic DAG Task Systems on Multiprocessors. - Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm:
Online Adaptative Curriculum Learning for GANs. - Sam Corbett-Davies, Sharad Goel:
The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning. - Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Jianzhong Li, Hong Gao:
Improve3C: Data Cleaning on Consistency and Completeness with Currency. - Bruno Gois Mateus, Matias Martinez:
An Empirical Study on Quality of Android Applications written in Kotlin language. - Kyohei Otsu, Guillaume Matheron, Sourish Ghosh, Olivier Toupet, Masahiro Ono:
Fast Approximate Clearance Evaluation for Kinematically Constrained Articulated Suspension Systems. - Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Seyed Mehdi Iranmanesh, Jeremy M. Dawson, Nasser M. Nasrabadi:
ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction. - Muhammad Waleed Gondal, Bernhard Schölkopf, Michael Hirsch:
The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution. - Ahsan Adeel, Mandar Gogate, Amir Hussain, William M. Whitmer:
Lip-Reading Driven Deep Learning Approach for Speech Enhancement. - Christos T. Rodosthenous, Loizos Michael:
Web-STAR: A Visual Web-Based IDE for a Story Comprehension System. - Cong Gao, Xingtong Liu, Michael Peven, Mathias Unberath, Austin Reiter:
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks. - Han Peng, Abolfazl Razi, Fatemeh Afghah, Jonathan D. Ashdown:
A Unified Framework for Joint Mobility Prediction and Object Profiling of Drones in UAV Networks. - Seyed Mehdi Iranmanesh, Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Nasser M. Nasrabadi:
Deep Sketch-Photo Face Recognition Assisted by Facial Attributes. - Mandar Gogate, Ahsan Adeel, Ricard Marxer, Jon Barker, Amir Hussain:
DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. - Andrea Zaccaria, Michela Del Vicario, Walter Quattrociocchi, Antonio Scala, Luciano Pietronero:
PopRank: Ranking pages' impact and users' engagement on Facebook. - Shoaib Akram, Jennifer B. Sartor, Kathryn S. McKinley, Lieven Eeckhout:
Emulating Hybrid Memory on NUMA Hardware. - Javad Rahimipour Anaraki, Saeed Samet, Mahdi Eftekhari, Chang Wook Ahn:
A Fuzzy-Rough based Binary Shuffled Frog Leaping Algorithm for Feature Selection. - Gabriel de Souza Pereira Moreira, Felipe Ferreira, Adilson Marques da Cunha:
News Session-Based Recommendations using Deep Neural Networks. - Yu-Xiang Wang, Borja Balle, Shiva Kasiviswanathan:
Subsampled Rényi Differential Privacy and Analytical Moments Accountant. - Sangwoo Park, Cassie Meeker, Lynne M. Weber, Lauri Bishop, Joel Stein, Matei T. Ciocarlie:
Multimodal Sensing and Interaction for a Robotic Hand Orthosis. - Carlos Molina-Jiménez, Ioannis Sfyrakis, Ellis Solaiman, Irene Ng, Meng Weng Wong, Alexis Chun, Jon Crowcroft:
Implementation of Smart Contracts Using Hybrid Architectures with On- and Off-Blockchain Components. - Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Roland Siegwart:
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. - Yan Sun, Dongfang Xu, Derrick Wing Kwan Ng, Linglong Dai, Robert Schober:
Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems. - Paul Sheridan, Mikael Onsjö, Sergio Jiménez, George Dueñas:
A Knowledge-based Filtering Story Recommender System for Theme Lovers with an Application to the Star Trek Television Franchise. - Stephen Romansky, Cheng Chen, Baljeet Malhotra, Abram Hindle:
Sourcerer's Apprentice and the study of code snippet migration. - Sumeet Singh, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone:
Learning Stabilizable Dynamical Systems via Control Contraction Metrics. - Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin:
Cognitive Techniques for Early Detection of Cybersecurity Events. - Rohan Garg, Apoorve Mohan, Michael Sullivan, Gene Cooperman:
CRUM: Checkpoint-Restart Support for CUDA's Unified Memory. - Serguei A. Mokhov, Miao Song, Jashanjot Singh, Joey Paquet, Mourad Debbabi, Sudhir P. Mudur:
Toward Multimodal Interaction in Scalable Visual Digital Evidence Visualization Using Computer Vision Techniques and ISS. - Xiaodong Wu, Lyn Bartram:
Social Robots for People with Developmental Disabilities: A User Study on Design Features of a Graphical User Interface. - Yujie Ji, Xinyang Zhang, Ting Wang:
EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report). - Duo Lu, Dijiang Huang:
FMCode: A 3D In-the-Air Finger Motion Based User Login Framework for Gesture Interface. - Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-consistent Generalized Zero-Shot Learning. - Cristian Rodriguez, Basura Fernando, Hongdong Li:
Action Anticipation By Predicting Future Dynamic Images. - R. M. Oliveira, R. C. de Lamare:
Study of Polarization-Driven Shortening for Polar Codes Designed with the Gaussian Approximation. - Kaifeng Han, Kaibin Huang, Robert W. Heath Jr.:
Connectivity and Blockage Effects in Millimeter-Wave Air-To-Everything Networks. - Xinjing Cheng, Peng Wang, Ruigang Yang:
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network. - Noa Haas, Yair Horesh, Shimon Shahar, Yehezkel S. Resheff:
Identifying Financial Institutions by Transaction Signatures. - Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin:
Instance-level Human Parsing via Part Grouping Network. - Alejandro Noriega-Campero, Alex Rutherford, Oren Lederman, Yves-Alexandre de Montjoye, Alex Pentland:
Mapping the Privacy-Utility Tradeoff in Mobile Phone Data for Development. - Atul Nautiyal, Killian McCabe, Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Clare Conran, Declan McKibben, Jian Tang, Xu Wei, François Pitié:
An Advert Creation System for Next-Gen Publicity. - Xu Yang, Hanwang Zhang, Jianfei Cai:
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features. - Sebastian Bodenstedt, Antonia Ohnemus, Darko Katic, Anna-Laura Wekerle, Martin Wagner, Hannes Kenngott, Beat P. Müller-Stich, Rüdiger Dillmann, Stefanie Speidel:
Real-time image-based instrument classification for laparoscopic surgery. - Elizaveta Korotkova, Maksym Del, Mark Fishel:
Monolingual and Cross-lingual Zero-shot Style Transfer. - Hongxiang Gu, Viswanathan Swaminathan:
From Thumbnails to Summaries - A single Deep Neural Network to Rule Them All. - Umang Mathur, Dileep Kini, Mahesh Viswanathan:
What Happens - After the First Race? Enhancing the Predictive Power of Happens - Before Based Dynamic Race Detection. - Liang Liu, Shuowen Zhang, Rui Zhang:
Multi-Beam UAV Communication in Cellular Uplink: Cooperative Interference Cancellation and Sum-Rate Maximization. - Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh:
Graph R-CNN for Scene Graph Generation. - Yukang Chen, Qian Zhang, Chang Huang, Lisen Mu, Gaofeng Meng, Xinggang Wang:
Reinforced Evolutionary Neural Architecture Search. - Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya:
A Pseudo Multi-Exposure Fusion Method Using Single Image. - Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, David S. Ebert:
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models. - Aybüke Öztürk, Stéphane Lallich, Jérôme Darmont, Sylvie Yona Waksman:
MaxMin Linear Initialization for Fuzzy C-Means. - Agrin Hilmkil, Oscar Ivarsson, Moa Johansson, Dan Kuylenstierna, Teun van Erp:
Towards Machine Learning on data from Professional Cyclists. - Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu:
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. - Gaurav Choudhary, Vishal Sharma, Takshi Gupta, Jiyoon Kim, Ilsun You:
Internet of Drones (IoD): Threats, Vulnerability, and Security Perspectives. - A. H. Abdul Hafez, Nakul Agarwal, C. V. Jawahar:
Connecting Visual Experiences using Max-flow Network with Application to Visual Localization. - Mir Khan, Heikki Huttunen, Jani Boutellier:
Binarized Convolutional Neural Networks for Efficient Inference on GPUs. - Keisuke Doi, Yukiko Yamauchi, Shuji Kijima, Masafumi Yamashita:
Exploration of Finite 2D Square Grid by a Metamorphic Robotic System. - Jianwen Chen, Kai Duan, Rumin Zhang, Liaoyuan Zeng, Wenyi Wang:
An AI Based Super Nodes Selection Algorithm in BlockChain Networks. - Amir Ramezani Dooraki:
Experience, Imitation and Reflection; Confucius' Conjecture and Machine Learning. - Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos:
Did We Get It Right? Predicting Query Performance in E-commerce Search. - Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev:
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation. - Franz Baader, Francesco Kriegel, Adrian Nuradiansyah, Rafael Peñaloza:
Repairing Description Logic Ontologies by Weakening Axioms. - Adrian Carrio, Sai Vemprala, Andres Ripoll, Srikanth Saripalli, Pascual Campoy:
Drone Detection Using Depth Maps. - Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu:
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data. - Yundong Zhang, Juan Carlos Niebles, Alvaro Soto:
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining. - Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert:
Recurrent neural networks for aortic image sequence segmentation with sparse annotations. - Kevin M. Judd, Jonathan D. Gammell, Paul Newman:
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. - Yuanwei Liu, Zhijin Qin, Maged Elkashlan, Zhiguo Ding, Arumugam Nallanathan, Lajos Hanzo:
Non-Orthogonal Multiple Access for 5G and Beyond. - Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. - Francisco M. Castro, Nicolás Guil, Manuel J. Marín-Jiménez, Jesús Pérez Serrano, Manuel Ujaldón:
Energy-based Tuning of Convolutional Neural Networks on Multi-GPUs. - Yingying Zhu, Jiong Wang, Lingxi Xie, Liang Zheng:
Attention-based Pyramid Aggregation Network for Visual Place Recognition. - Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter Battaglia:
Learning Visual Question Answering by Bootstrapping Hard Attention. - Panagiotis Petsagkourakis, William P. Heath, Constantinos Theodoropoulos:
Stability Analysis of Piecewise Affine Systems with Multi-model Model Predictive Control. - Alma Eguizabal, Peter J. Schreier, David Ramírez:
Model-order selection in statistical shape models. - Toshiharu Sugie, Brian D. O. Anderson, Zhiyong Sun, Huichao Dong:
On a hierarchical control strategy for multi-agent formation without reflection. - Qichuan Geng, Xinyu Huang, Zhong Zhou, Ruigang Yang:
A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation. - Megan K. Strait, Ana C. Sánchez Ramos, Virginia Contreras, Noemi Garcia:
Robots Racialized in the Likeness of Marginalized Social Identities are Subject to Greater Dehumanization than those racialized as White. - Xinge Zhu, Zhichao Yin, Jianping Shi, Hongsheng Li, Dahua Lin:
Generative Adversarial Frontal View to Bird View Synthesis. - Anthony Savidis:
There is more to PCG than Meets the Eye: NPC AI, Dynamic Camera, PVS and Lightmaps. - Jiyang Xie, Jiaxin Guo, Zhanyu Ma, Jing-Hao Xue, Qie Sun, Hailong Li, Jun Guo:
SEA: A Combined Model for Heat Demand Prediction. - Miklas S. Kristoffersen, Sven Ewan Shepstone, Zheng-Hua Tan:
The Importance of Context When Recommending TV Content: Dataset and Algorithms. - Benedikt Schott, Christoph Ager, Wolfgang A. Wall:
A monolithic approach to fluid-structure interaction based on a hybrid Eulerian-ALE fluid domain decomposition involving cut elements. - Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots:
Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments. - Vien Minh Nguyen-Thanh, Xiaoying Zhuang, Hung Nguyen-Xuan, Timon Rabczuk, Peter Wriggers:
A Virtual Element Method for 2D linear elastic fracture analysis. - Yongsung Kim, Adam Fourney, Ece Kamar:
Studying Preferences and Concerns about Information Disclosure in Email Notifications. - Stephen Lombardi, Jason M. Saragih, Tomas Simon, Yaser Sheikh:
Deep Appearance Models for Face Rendering. - Michele Polese, Marco Giordani, Arnab Roy, Sanjay Goyal, Douglas Castor, Michele Zorzi:
End-to-End Simulation of Integrated Access and Backhaul at mmWaves. - Ernö Kovacs, Martin Peter Bauer, Jaeho Kim, Jaeseok Yun, Franck Le Gall, Mengxuan Zhao:
Standards-Based Worldwide Semantic Interoperability for IoT. - Stefan Räbiger, Yücel Saygin, Myra Spiliopoulou:
How Does Tweet Difficulty Affect Labeling Performance of Annotators? - Juan-Manuel Perez-Rua, Moez Baccouche, Stéphane Pateux:
Efficient Progressive Neural Architecture Search. - Sudin Kadam, Ravi N. Banavar:
Variational dynamic interpolation for kinematic systems on trivial principal bundles. - Carmine Dodaro, Philip Gasteiger, Kristian Reale, Francesco Ricca, Konstantin Schekotihin:
Debugging Non-Ground ASP Programs: Technique and Graphical Tools. - Martin Aleksandrov:
Almost Envy Freeness and Welfare Efficiency in Fair Division with Goods or Bads. - Marc Velay, Fabrice Daniel:
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters. - Irit Dinur, Prahladh Harsha, Tali Kaufman, Inbal Livni Navon, Amnon Ta-Shma:
List Decoding with Double Samplers. - Martina Garofalo, Maria Angela Pellegrino, Abdulrahman Altabba, Michael Cochez:
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases. - Sheng Chen, Jia Guo, Yang Liu, Xiang Gao, Zhen Han:
Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate. - Troy T. Chinen, Johannes Ballé, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean M. O'Malley, Charles Rosenberg, George Toderici:
Towards a Semantic Perceptual Image Metric. - Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, Ming-Hsuan Yang:
Learning Blind Video Temporal Consistency. - Yao Sun, Yang Deng, Yue Xu, Shuo Zhang, Mingwang Zhu, Kehong Yuan:
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation. - Jan Niehues, Ngoc-Quan Pham, Thanh-Le Ha, Matthias Sperber, Alex Waibel:
Low-Latency Neural Speech Translation. - Hugues Thomas, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Yann Le Gall:
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. - Ini Oguntola, Subby Olubeko, Christopher Sweeney:
SlimNets: An Exploration of Deep Model Compression and Acceleration. - Andrew Trask, Felix Hill, Scott Reed, Jack W. Rae, Chris Dyer, Phil Blunsom:
Neural Arithmetic Logic Units. - Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani, Hadi Kazemi, Yaser P. Fallah:
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks. - Ronny Hadani, Shlomo Rakib, Shachar Kons, Michael Tsatsanis, Anton Monk, Christian Ibars, Jim Delfeld, Yoav Hebron, Andrea J. Goldsmith, Andreas F. Molisch, A. Robert Calderbank:
Orthogonal Time Frequency Space Modulation. - Emre Yilmaz, Henk van den Heuvel, David A. van Leeuwen:
Code-Switching Detection with Data-Augmented Acoustic and Language Models. - Pragna Das, Lluís Ribas-Xirgo:
Parameter estimation for optimal path planning in internal transportation. - Zachariah Carmichael, Humza Syed, Stuart Burtner, Dhireesha Kudithipudi:
Mod-DeepESN: Modular Deep Echo State Network. - Xiao-Feng Xie, Zun-Jing Wang:
Cooperative Group Optimization with Ants (CGO-AS): Leverage Optimization with Mixed Individual and Social Learning. - Jinseok Kim, Jenna Kim:
The impact of imbalanced training data on machine learning for author name disambiguation. - Jorge Brea, Javier Burroni, Carlos Sarraute:
Inference of Users Demographic Attributes based on Homophily in Communication Networks. - John Adler, Ryan Berryhill, Andreas G. Veneris, Zissis Poulos, Neil Veira, Anastasia Kastania:
Astraea: A Decentralized Blockchain Oracle. - Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks:
Open Category Detection with PAC Guarantees. - Afroza Shirin, Isaac S. Klickstein, Song Feng, Yen Ting Lin, William S. Hlavacek, Francesco Sorrentino:
Prediction of Optimal Drug Schedules for Controlling Autophagy. - Yutaka Hori, Hiroki Miyazako:
Analyzing Diffusion and Flow-driven Instability using Semidefinite Programming. - Andrea Esuli, Lucas May Petry, Chiara Renso, Vania Bogorny:
Traj2User: exploiting embeddings for computing similarity of users mobile behavior. - Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, Mark Neubauer:
Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters. - David Schubert, Nikolaus Demmel, Vladyslav C. Usenko, Jörg Stückler, Daniel Cremers:
Direct Sparse Odometry with Rolling Shutter. - Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori:
Spectral Mixture Kernels with Time and Phase Delay Dependencies. - David Eppstein, Michael T. Goodrich, Jordan Jorgensen, Manuel R. Torres:
Geometric Fingerprint Recognition via Oriented Point-Set Pattern Matching. - Anirudh Raju, Sankaran Panchapagesan, Xing Liu, Arindam Mandal, Nikko Strom:
Data Augmentation for Robust Keyword Spotting under Playback Interference. - Ping Yin, Steven Diamond, Bill Lin, Stephen P. Boyd:
Network Optimization for Unified Packet and Circuit Switched Networks. - Jose Carlos Villarreal Guerra, Zeba Khanam, Shoaib Ehsan, Rustam Stolkin, Klaus D. McDonald-Maier:
Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks. - Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Max Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. - Mojtaba Ahmadi Almasi, Mojtaba Vaezi, Hani Mehrpouyan:
Hybrid Beamforming NOMA for mmWave Communications. - Mohammad Masudur Rahman, Chanchal K. Roy:
Improving IR-Based Bug Localization with Context-Aware Query Reformulation. - Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen:
Classification of Building Information Model (BIM) Structures with Deep Learning. - Jinshan Pan, Yang Liu, Jiangxin Dong, Jiawei Zhang, Jimmy S. J. Ren, Jinhui Tang, Yu-Wing Tai, Ming-Hsuan Yang:
Physics-Based Generative Adversarial Models for Image Restoration and Beyond. - Sourish Chaudhuri, Joseph Roth, Daniel P. W. Ellis, Andrew Gallagher, Liat Kaver, Radhika Marvin, Caroline Pantofaru, Nathan Reale, Loretta Guarino Reid, Kevin W. Wilson, Zhonghua Xi:
AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies. - Lu Lu, Wenyuan Wang, Xiaomin Yang, Wei Wu:
Recursive Geman-McClure method for implementing second-order Volterra filter. - Jialiang Chang, Bo Gao, Hao Xiao, Jun Sun, Zijiang Yang:
sCompile: Critical Path Identification and Analysis for Smart Contracts. - Farhad Shakerin, Gopal Gupta:
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME. - Bichuan Guo, Jiangtao Wen, Yuxing Han:
Two-pass Light Field Image Compression for Spatial Quality and Angular Consistency. - Yingyuan Yang, Jinyuan Stella Sun:
Dynamic Multi-level Privilege Control in Behavior-based Implicit Authentication Systems Leveraging Mobile Devices. - Zhehuai Chen, Yanmin Qian, Kai Yu:
Sequence Discriminative Training for Deep Learning based Acoustic Keyword Spotting. - ShreeRanjani SrirangamSridharan, Oytun Ulutan, Shehzad Noor Taus Priyo, Swati Rallapalli, Mudhakar Srivatsa:
Object Localization and Size Estimation from RGB-D Images. - Jiangnan Li, Jinyuan Stella Sun:
A Practical Searchable Symmetric Encryption Scheme for Smart Grid Data. - Sumeet Singh, Mo Chen, Sylvia L. Herbert, Claire J. Tomlin, Marco Pavone:
Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach. - Jad Hachem, Urs Niesen, Suhas N. Diggavi:
Energy-Efficiency Gains of Caching for Interference Channels. - Zhenghao Hu, Yu Hu, Brendan Dolan-Gavitt:
Chaff Bugs: Deterring Attackers by Making Software Buggier. - Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin:
Adaptive Temporal Encoding Network for Video Instance-level Human Parsing. - Hongxiang Gu, Miodrag Potkonjak:
Efficient and Secure Group Key Management in IoT using Multistage Interconnected PUF. - K. I. Ahmed, Hina Tabassum, Ekram Hossain:
Deep Learning for Radio Resource Allocation in Multi-Cell Networks. - Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, Martial Hebert:
PCN: Point Completion Network. - Kazuo Iwama, Junichi Teruyama, Shuntaro Tsuyama:
Reconstructing Strings from Substrings: Optimal Randomized and Average-Case Algorithms. - Yuting Gao, Zheng Huang, Yuchen Dai:
Double Supervised Network with Attention Mechanism for Scene Text Recognition. - Irina Dolzhikova, Khaled N. Salama, Vipin Kizheppatt, Alex Pappachen James:
Memristor-based Synaptic Sampling Machines. - André Merzky, Ming Tai Ha, Matteo Turilli, Shantenu Jha:
Synapse: Synthetic Application Profiler and Emulator. - Anup Bhattacharya, Arijit Bishnu, Arijit Ghosh, Gopinath Mishra:
Triangle Estimation using Polylogarithmic Queries. - Jyoti Jha, Sreekavitha Parupalli, Navjyoti Singh:
OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages. - Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa, Huamin Qu:
Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach. - David Rohde, Stephen Bonner, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou:
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. - Olga Krestinskaya, Alex Pappachen James:
Approximate Probabilistic Neural Networks with Gated Threshold Logic. - Sindi Shkodrani, Michael Hofmann, Efstratios Gavves:
Dynamic Adaptation on Non-Stationary Visual Domains. - Olga Krestinskaya, Alex Pappachen James:
Binary Weighted Memristive Analog Deep Neural Network for Near-Sensor Edge Processing. - Lorenzo Fiaschi, Marco Cococcioni:
Numerical Asymptotic Results in Game Theory Using Sergeyev's Infinity Computing. - Minyoung Chung, Jingyu Lee, Minkyung Lee, Jeongjin Lee, Yeong-Gil Shin:
Deeply Self-Supervising Edge-to-Contour Neural Network Applied to Liver Segmentation. - Vladimir V. V'yugin, Vladimir G. Trunov:
Online Aggregation of Unbounded Losses Using Shifting Experts with Confidence. - Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni:
Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. - Fadri Furrer, Tonci Novkovic, Marius Fehr, Abel Gawel, Margarita Grinvald, Torsten Sattler, Roland Siegwart, Juan I. Nieto:
Incremental Object Database: Building 3D Models from Multiple Partial Observations. - Maximilian Jaritz, Raoul de Charette, Émilie Wirbel, Xavier Perrotton, Fawzi Nashashibi:
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation. - Qiuqiang Kong, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
DCASE 2018 Challenge baseline with convolutional neural networks. - Michal Cáp, Szabolcs Vajna, Emilio Frazzoli:
Fleet Sizing in Vehicle Sharing Systems with Service Quality Guarantees. - Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel:
Weakly Supervised Localisation for Fetal Ultrasound Images. - Jan Rüth, Torsten Zimmermann, Konrad Wolsing, Oliver Hohlfeld:
Digging into Browser-based Crypto Mining. - Duong N. Nguyen, Sandeep S. Kulkarni, Ajoy K. Datta:
Benefit of Self-Stabilizing Protocols in Eventually Consistent Key-Value Stores: A Case Study. - Jacob Kreindl, Manuel Rigger, Hanspeter Mössenböck:
Debugging Native Extensions of Dynamic Languages. - Prateesh Goyal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
Secure Incentivization for Decentralized Content Delivery. - Sebastian Eibl, Ulrich Rüde:
A Systematic Comparison of Dynamic Load Balancing Algorithms for Massively Parallel Rigid Particle Dynamics. - Hugo Jonker, Jelmer Kalkman, Benjamin Krumnow, Marc Sleegers, Alan Verresen:
Shepherd: Enabling Automatic and Large-Scale Login Security Studies. - Parosh Aziz Abdulla, Mohamed Faouzi Atig, Bengt Jonsson, Tuan Phong Ngo:
Optimal Stateless Model Checking under the Release-Acquire Semantics. - Jia-xin Cai, Xin Tang:
RGB Video Based Tennis Action Recognition Using a Deep Weighted Long Short-Term Memory. - Oskari Tervo, Le-Nam Tran, Harri Pennanen, Symeon Chatzinotas, Björn E. Ottersten, Markku J. Juntti:
Energy-Efficient Multi-Cell Multigroup Multicasting with Joint Beamforming and Antenna Selection. - Nicola Pellicanò, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
Geometry-Based Multiple Camera Head Detection in Dense Crowds. - Xianan Huang, Songan Zhang, Huei Peng:
Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior. - Che-Wei Huang, Shrikanth S. Narayanan:
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition. - Yutao Chen, Mattia Bruschetta, Davide Cuccato, Alessandro Beghi:
An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. - Hazrat Ali, Adnan Ali Awan, Sanaullah Khan, Omer Shafique, Atiq Ur Rahman, Shahid Khan:
Supervised classification for object identification in urban areas using satellite imagery. - Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer:
Estimation and Control Using Sampling-Based Bayesian Reinforcement Learning. - Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani:
Compositional (In)Finite Abstractions for Large-Scale Interconnected Stochastic Systems. - Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation. - Filippo Bonchi, Ana Sokolova, Valeria Vignudelli:
Trace Semantics for Nondeterministic Probabilistic Automata via Determinization. - Spencer M. Richards, Felix Berkenkamp, Andreas Krause:
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamic Systems. - Michal Ptaszynski, Gniewosz Leliwa, Mateusz Piech, Aleksander Smywinski-Pohl:
Cyberbullying Detection - Technical Report 2/2018, Department of Computer Science AGH, University of Science and Technology. - Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
Learning Actionable Representations from Visual Observations. - Mamikon Gulian, Maziar Raissi, Paris Perdikaris, George E. Karniadakis:
Machine Learning of Space-Fractional Differential Equations. - Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora:
Streaming Kernel PCA with Õ(√n) Random Features. - Stefan Kiefer, Corto Mascle:
On Finite Monoids over Nonnegative Integer Matrices and Short Killing Words. - Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Kumar Singh, Ming-Hsuan Yang:
Diverse Image-to-Image Translation via Disentangled Representations. - Osamu Watanabe, Hiroyuki Kobayashi, Hitoshi Kiya:
Two-Layer Lossless HDR Coding using Histogram Packing Technique with Backward Compatibility to JPEG. - Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma:
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection. - Ahmed Kamoun, Patrick Maillé, Bruno Tuffin:
Evaluating search engines and defining a consensus implementation. - Meifan Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao:
Diversification on Big Data in Query Processing. - Connor Greenwell, Scott Workman, Nathan Jacobs:
What Goes Where: Predicting Object Distributions from Above. - Kilol Gupta, Mukund Yelahanka Raghuprasad, Pankhuri Kumar:
A Hybrid Variational Autoencoder for Collaborative Filtering. - Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen, Tie Luo:
The Privacy Exposure Problem in Mobile Location-based Services. - Jinseok Choi, Gilwon Lee, Brian L. Evans:
Two-Stage Analog Combining in Hybrid Beamforming Systems with Low-Resolution ADCs. - S. Sinem Kafiloglu, Gürkan Gür, Fatih Alagöz:
Analysis of Content-Oriented Heterogeneous Networks with D2D and Cognitive Communications. - Gürkan Solmaz, Fang-Jing Wu:
Together or Alone: Detecting Group Mobility with Wireless Fingerprints. - Felice De Luca, Stephen G. Kobourov, Helen C. Purchase:
Perception of Symmetries in Drawings of Graphs. - Janette Rounds, Upulee Kanewala:
Systematic Testing of Genetic Algorithms: A Metamorphic Testing based Approach. - Anshuman Chhabra, Vidushi Vashishth, Anirudh Khanna, Deepak Kumar Sharma, Jyotsna Singh:
An Energy Efficient Routing Protocol for Wireless Internet-of-Things Sensor Networks. - Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability. - Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Máadeed, Nasir M. Rajpoot, Mubarak Shah:
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds. - Nei Kato, Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Shigenori Tani, Atsushi Okamura, Jiajia Liu:
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence. - Fateme Bahri, Moein Shakeri, Nilanjan Ray:
Online Illumination Invariant Moving Object Detection by Generative Neural Network. - Noriki Fujisato, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Right-to-left online construction of parameterized position heaps. - Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen:
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. - Megan Strait, Virginia Contreras, Christian Duarte Vela:
Verbal Disinhibition towards Robots is Associated with General Antisociality. - Dongyan Huang, Xiaoli Ma, Shengli Zhang:
Performance Analysis of the Raft Consensus Algorithm for Private Blockchains. - Lyndon White, Roberto Togneri, Wei Liu, Mohammed Bennamoun:
DataDeps.jl: Repeatable Data Setup for Replicable Data Science. - Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong:
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. - Kai Wu, Qiang Guan, Nathan DeBardeleben, Dong Li:
Characterization and Comparison of Application Resilience for Serial and Parallel Executions. - Xiangyu Niu, Jinyuan Sun:
Dynamic Detection of False Data Injection Attack in Smart Grid using Deep Learning. - Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran:
Helix: Accelerating Human-in-the-loop Machine Learning. - Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R. Scott, Dinglong Huang:
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images. - Jimmy Wu, Bolei Zhou, Rebecca Russell, Vincent Kee, Syler Wagner, Mitchell Hebert, Antonio Torralba, David M. S. Johnson:
Real-Time Object Pose Estimation with Pose Interpreter Networks. - Ludwik Trammer, Jamie Nunez:
Code Shrew: Software platform for teaching programming through drawings and animations. - Savas Özkan, Gozde Bozdagi Akar:
Late Fusion of Local Indexing and Deep Feature Scores for Fast Image-to-Video Search on Large-Scale Databases. - Savas Özkan, Gozde Bozdagi Akar:
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty. - Yang Du, Chunfeng Yuan, Bing Li, Lili Zhao, Yangxi Li, Weiming Hu:
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification. - Madalin Plastoi, Ovidiu Banias, Daniel-Ioan Curiac, Constantin Volosencu, Roxana Tudoroiu, Alexa Doboli:
Integrated System for Malicious Node Discovery and Self-destruction in Wireless Sensor Networks. - Xiang Gao, Rui Wang, Nikolaus Demmel, Daniel Cremers:
LDSO: Direct Sparse Odometry with Loop Closure. - David Sánchez, Sergio Martínez, Josep Domingo-Ferrer:
How to Avoid Reidentification with Proper Anonymization. - Ting-Yao Hu, Xiaojun Chang, Alexander G. Hauptmann:
Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification. - Yang He, Bernt Schiele, Mario Fritz:
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. - Minh-Tan Pham:
Efficient texture retrieval using multiscale local extrema descriptors and covariance embedding. - Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori:
Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes. - Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, R. Venkatesh Babu:
iSPA-Net: Iterative Semantic Pose Alignment Network. - Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Hoeffding Trees with nmin adaptation. - Faizal M. F. Hafiz, Akshya Swain, Nitish D. Patel, Chirag Naik:
A Two-Dimensional (2-D) Learning Framework for Particle Swarm based Feature Selection. - Quan-Lin Li, Fan-Qi Ma, Jing-Yu Ma:
A Stochastic Model for File Lifetime and Security in Data Center Networks. - Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu:
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions. - Hamish Haughey, Gregory Epiphaniou, Haider M. Al-Khateeb, Ali Dehghantanha:
Adaptive Traffic Fingerprinting for Darknet Threat Intelligence. - Mauro Conti, Ali Dehghantanha, Tooska Dargahi:
Cyber Threat Intelligence : Challenges and Opportunities. - Erich Schikuta, Helmut Wanek, Heinz Stockinger, Kurt Stockinger, Thomas Fürle, Oliver Jorns, Christoph Löffelhardt, Peter Brezany, Minh Dang, Thomas A. Mück:
ViPIOS - VIenna Parallel Input Output System: Language, Compiler and Advanced Data Structure Support for Parallel I/O Operations. - Alex Doboli, Daniel Curiac, Dan Pescaru, Simona Doboli, Wendy Tang, Constantin Volosencu, Michael Gilberti, Ovidiu Banias, Codruta Istin:
Cities of the Future: Employing Wireless Sensor Networks for Efficient Decision Making in Complex Environments. - Chen Hajaj, Sixie Yu, Zlatko Joveski, Yevgeniy Vorobeychik:
Adversarial Coordination on Social Networks. - M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona:
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning. - Thomas Lukaseder, Kevin Stölzle, Stephan Kleber, Benjamin Erb, Frank Kargl:
An SDN-based Approach For Defending Against Reflective DDoS Attacks. - Alexander Broad, Ian Abraham, Todd D. Murphey, Brenna Argall:
Structured Neural Network Dynamics for Model-based Control. - Aditya K, Slawomir Grzonkowski, Nhien An LeKhac:
Enabling Trust in Deep Learning Models: A Digital Forensics Case Study. - Thanh Vinh Vo, Harold Soh:
Generation Meets Recommendation: Proposing Novel Items for Groups of Users. - Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel:
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. - Andrii Shalaginov, Sergii Banin, Ali Dehghantanha, Katrin Franke:
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. - Gregory Epiphaniou, Petros Karadimas, Dhouha Kbaier Ben Ismail, Haider M. Al-Khateeb, Ali Dehghantanha, Kim-Kwang Raymond Choo:
Non-Reciprocity Compensation Combined with Turbo Codes for Secret Key Generation in Vehicular Ad Hoc Social IoT Networks. - Yuanzhi Li, Yingyu Liang:
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. - Anne Marie Bogar, Damian M. Lyons, David Baird:
Lightweight Call-Graph Construction for Multilingual Software Analysis. - Md. Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya:
A Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction. - Indranil Chakraborty, Gobinda Saha, Kaushik Roy:
Photonic Spiking Neural Networks - From Devices to Systems. - Timothy Atkinson, Hendrik Baier, Tara Copplestone, Sam Devlin, Jerry Swan:
The Text-Based Adventure AI Competition. - Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool:
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. - Omar El-Daghar, Erik Lundberg, Robert A. Bridges:
EGBTER: Capturing degree distribution, clustering coefficients, and community structure in a single random graph model. - Aaron Sidford, Kevin Tian:
Coordinate Methods for Accelerating 𝓁∞ Regression and Faster Approximate Maximum Flow. - ShihChung B. Lo, Matthew T. Freedman, Seong Ki Mun, Heang-Ping Chan:
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems. - Ali Lotfi-Rezaabad, Hamzeh Beyranvand, Jawad A. Salehi, Martin Maier:
Ultra-Dense 5G Small Cell Deployment for Fiber and Wireless Backhaul-Aware Infrastructures. - Prosenjit Bose, Jean-Lou De Carufel, Darryl Hill, Michiel H. M. Smid:
On the Spanning and Routing Ratio of Theta-Four. - Bihan Wen, Yanjun Li, Yoram Bresler:
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. - Chun-Hung Liu, Chi-Sheng Hsu:
Fundamentals of Simultaneous Wireless Information and Power Transmission in Heterogeneous Networks: A Cell Load Perspective. - Vignesh Ganapathi-Subramanian, Olga Diamanti, Sören Pirk, Chengcheng Tang, Matthias Nießner, Leonidas J. Guibas:
Parsing Geometry Using Structure-Aware Shape Templates. - Thiemo Alldieck, Marcus A. Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll:
Detailed Human Avatars from Monocular Video. - João Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, Andrew Zisserman:
A Short Note about Kinetics-600. - Rahul Sawhney, Fuxin Li, Henrik I. Christensen, Charles L. Isbell:
Purely Geometric Scene Association and Retrieval - A Case for Macro Scale 3D Geometry. - Paolo Cazzaniga, Marco S. Nobile, Daniele Ramazzotti:
Multi-objective optimization to explicitly account for model complexity when learning Bayesian Networks. - Conrad Watt, John Renner, Natalie Popescu, Sunjay Cauligi, Deian Stefan:
CT-Wasm: Type-Driven Secure Cryptography for the Web Ecosystem. - Mehmet Sinan Inci, Thomas Eisenbarth, Berk Sunar:
DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes. - Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar:
Edge Based Data-Driven Pipelines (Technical Report). - Arunava Chakravarty, Jayanthi Sivaswamy:
A Deep Learning based Joint Segmentation and Classification Framework for Glaucoma Assesment in Retinal Color Fundus Images. - Beatriz Blanco-Filgueira, Daniel García-Lesta, Mauro Fernández-Sanjurjo, Victor M. Brea, Paula López:
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications. - Mirco Planamente, Mohammad Reza Loghmani, Barbara Caputo:
Recurrent Convolutional Fusion for RGB-D Object Recognition. - Hiroki Ohashi, Mohammad Al-Naser, Sheraz Ahmed, Katsuyuki Nakamura, Takuto Sato, Andreas Dengel:
Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors. - Ananda Samajdar, Parth Mannan, Kartikay Garg, Tushar Krishna:
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware. - Raul Puri, Robert Kirby, Nikolai Yakovenko, Bryan Catanzaro:
Large Scale Language Modeling: Converging on 40GB of Text in Four Hours. - Albert Cheu, Adam D. Smith, Jonathan Ullman, David Zeber, Maxim Zhilyaev:
Distributed Differential Privacy via Mixnets. - Uri Alon, Omer Levy, Eran Yahav:
code2seq: Generating Sequences from Structured Representations of Code. - Rémi Rampin, Fernando Chirigati, Vicky Steeves, Juliana Freire:
ReproServer: Making Reproducibility Easier and Less Intensive. - Daisy Stanton, Yuxuan Wang, R. J. Skerry-Ryan:
Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis. - Bilal Abu-Salih, Pornpit Wongthongtham, Kit Yan Chan, Dengya Zhu:
CredSaT: Credibility Ranking of Users in Big Social Data incorporating Semantic Analysis and Temporal Factor. - Dongmian Zou, Radu Balan, Maneesh Singh:
On Lipschitz Bounds of General Convolutional Neural Networks. - Jing-Wen Yi, Li Chai, Jingxin Zhang:
Average Consensus by Graph Filtering: New Approach, Explicit Convergence Rate and Optimal Design. - Chris Tensmeyer, Curtis Wigington, Brian L. Davis, Seth Stewart, Tony Martinez, William Barrett:
Language Model Supervision for Handwriting Recognition Model Adaptation. - Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta N. Sinha:
Learning to Align Images using Weak Geometric Supervision. - Niantao Xie, Sujian Li, Huiling Ren, Qibin Zhai:
Abstractive Summarization Improved by WordNet-based Extractive Sentences. - Elena Balashova, Vivek Singh, Jiangping Wang, Brian Teixeira, Terrence Chen, Thomas A. Funkhouser:
Structure-Aware Shape Synthesis. - Stefano Coniglio, Nicola Gatti, Alberto Marchesi:
Computing a Pessimistic Leader-Follower Equilibrium with Multiple Followers: the Mixed-Pure Case. - Peng Lu, Timothy Sandy, Jonas Buchli:
Nonlinear disturbance attenuation control of hydraulic robotics. - Raghav Gurbaxani, Shivank Mishra:
Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection. - Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai:
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks. - Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür:
On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. - Eduardo P. Garcia del Valle, Gerardo Lagunes Garcia, Lucia Prieto Santamaria, Massimiliano Zanin, Alejandro Rodríguez González, Ernestina Menasalvas Ruiz:
Evaluating Wikipedia as a source of information for disease understanding. - Eman Ahmed, Alexandre Saint, Abd El Rahman Shabayek, Kseniya Cherenkova, Rig Das, Gleb Gusev, Djamila Aouada, Björn E. Ottersten:
Deep Learning Advances on Different 3D Data Representations: A Survey. - Kayvan Kousha, Mike Thelwall:
Can Microsoft Academic help to assess the citation impact of academic books? - Awanthika Senarath, Nalin Asanka Gamagedara Arachchilage:
Understanding Software Developers' Approach towards Implementing Data Minimization. - Chamila Wijayarathna, Nalin Asanka Gamagedara Arachchilage:
Am I Responsible for End-User's Security? A Programmer's Perspective. - Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin:
Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining. - Ahmed Abdelreheem, Ehab Mahmoud Mohamed, Hamada Esmaiel:
Millimeter Wave Location-Based Beamforming using Compressive Sensing. - Wei-Che Wang, Yair Yona, Yizhang Wu, Suhas N. Diggavi, Puneet Gupta:
Implementation and Analysis of Stable PUFs Using Gate Oxide Breakdown. - Dewang Gedia, Levi Perigo:
NetO-App: A Network Orchestration Application for Centralized Network Management in Small Business Networks. - Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang:
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia. - Denis Tomè, Matteo Toso, Lourdes Agapito, Chris Russell:
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture. - Anton Puzanov, Kobi Cohen:
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems. - Ian Gemp, Sridhar Mahadevan:
Global Convergence to the Equilibrium of GANs using Variational Inequalities. - Chun Tung Chou:
Designing molecular circuits for approximate maximum a posteriori demodulation of concentration modulated signals. - Xinbo Liu, Yapin Lin, He Li, Jiliang Zhang:
Adversarial Examples: Attacks on Machine Learning-based Malware Visualization Detection Methods. - Dimitrios Stamoulis, Ting-Wu Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu:
Designing Adaptive Neural Networks for Energy-Constrained Image Classification. - Rongtian Ye, Fangyu Liu, Liqiang Zhang:
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. - Zhiwen Shao, Hengliang Zhu, Xin Tan, Yangyang Hao, Lizhuang Ma:
Deep Multi-Center Learning for Face Alignment. - Chang-Ting Lin, Ning Ma, Xun Wang, Zhenguang Liu, Jianhai Chen, Shouling Ji:
Rapido: A Layer2 Payment System for Decentralized Currencies. - Han Shen, Lichao Huang, Chang Huang, Wei Xu:
Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking. - Giovanni Rossi:
Solutions of partition function-based TU games for cooperative communication networking. - Dapeng Chen, Hongsheng Li, Xihui Liu, Yantao Shen, Zejian Yuan, Xiaogang Wang:
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association. - Pankaj Gupta, Hinrich Schütze:
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation. - Simon Koppers, Luke Bloy, Jeffrey I. Berman, Chantal M. W. Tax, J. Christopher Edgar, Dorit Merhof:
Spherical Harmonic Residual Network for Diffusion Signal Harmonization. - Jiaojiao Zhao, Li Liu, Cees G. M. Snoek, Jungong Han, Ling Shao:
Pixel-level Semantics Guided Image Colorization. - Devashish Gosain, Soubhik Chakraborty, Mohit Sajwan:
Simulating Raga Notes with a Markov Chain of Order 1-2. - Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning monocular depth estimation with unsupervised trinocular assumptions. - Christoph Hellings, Wolfgang Utschick:
Improper Signaling versus Time-Sharing in the Two-User Gaussian Interference Channel with TIN. - Rick Salay, Krzysztof Czarnecki:
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262. - Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis, Rajesh Sundaresan, Sanjay Shakkottai:
Augmenting Max-Weight with Explicit Learning for Wireless Scheduling with Switching Costs. - Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Scale Supervised Network for Human Pose Estimation. - Dan Zhang, Hongzhi Wang, Xiaoou Ding, Yice Zhang, Jianzhong Li, Hong Gao:
On the Fairness of Quality-based Data Markets. - Christoph Mayer, Radu Timofte, Grégory Paul:
Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models. - Zhijian Ou:
A Review of Learning with Deep Generative Models from perspective of graphical modeling. - Pepijn B. Cox, Roland Tóth, Mihály Petreczky:
Towards Efficient Maximum Likelihood Estimation of LPV-SS Models. - Yeshasvi Tirupachuri, Silvio Traversaro, Francesco Nori, Daniele Pucci:
Momentum-Based Topology Estimation of Articulated Objects. - Deepak Gupta, Sarah Kohail, Pushpak Bhattacharyya:
Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering. - Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. - Alessio Zappone, Marco Di Renzo, Mérouane Debbah, Tu Lam Thanh, Xuewen Qian:
Model-Aided Wireless Artificial Intelligence: Embedding Expert Knowledge in Deep Neural Networks Towards Wireless Systems Optimization. - Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. - Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier:
A Multi-task Framework for Skin Lesion Detection and Segmentation. - Toan Nguyen, Aditi Roy, Nasir D. Memon:
Kid on The Phone! Toward Automatic Detection of Children on Mobile Devices. - Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets. - Micol Marchetti-Bowick, Benjamin J. Lengerich, Ankur P. Parikh, Eric P. Xing:
Hybrid Subspace Learning for High-Dimensional Data. - Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao:
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. - Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. - Abel Molina, John Watrous:
Revisiting the simulation of quantum Turing machines by quantum circuits. - Oren Segal, Justin Cabot-Miller, Kira V. Adaricheva, James B. Nation, Anuar Sharafudinov:
The Bases of Association Rules of High Confidence. - Chengwen Xing, Yindi Jing, Shuai Wang, Shaodan Ma, H. Vincent Poor:
New Viewpoint and Algorithms for Water-Filling Solutions in Wireless Communications. - Tarun Kumar Yadav, Akshat Sinha, Devashish Gosain, Piyush Kumar Sharma, Sambuddho Chakravarty:
Where The Light Gets In: Analyzing Web Censorship Mechanisms in India. - ShaoHua Lv, Jian Wang, YinQi Yang, Jiqiang Liu:
Intrusion Prediction with System-call Sequence-to-Sequence Model. - Kiavash Satvat, Nitesh Saxena:
Crashing Privacy: An Autopsy of a Web Browser's Leaked Crash Reports. - Jie Gong, Xiang Chen, Xiao Ma:
Energy-Age Tradeoff in Status Update Communication Systems with Retransmission. - Bin Chen, Wei Guo, Bin Li, Robert K. F. Teng, Mingjun Dai, Jianping Luo, Hui Wang:
A Study of Deep Feature Fusion based Methods for Classifying Multi-lead ECG. - Subhash Lakshminarayana, Jabir Shabbir Karachiwala, Sang-Yoon Chang, Girish Revadigar, Sristi Lakshmi Sravana Kumar, David K. Y. Yau, Yih-Chun Hu:
Signal Jamming Attacks Against Communication-Based Train Control: Attack Impact and Countermeasure. - Tz-Ying Wu, Juan-Ting Lin, Tsun-Hsuan Wang, Chan-Wei Hu, Juan Carlos Niebles, Min Sun:
Liquid Pouring Monitoring via Rich Sensory Inputs. - Sujoy Paul, Sourya Roy, Amit K. Roy-Chowdhury:
Incorporating Scalability in Unsupervised Spatio-Temporal Feature Learning. - Hossein Sayadi:
Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques. - Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric:
Executable Trigger-Action Comments. - Anupam Datta, Shayak Sen, Michael Carl Tschantz:
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together. - Ravi Kumar Kolla, Prashanth L. A., Sanjay P. Bhat, Krishna P. Jagannathan:
Concentration bounds for empirical conditional value-at-risk: The unbounded case. - Walid S. Saba:
Logical Semantics and Commonsense Knowledge: Where Did we Go Wrong, and How to Go Forward, Again. - Denys J. C. Matthies, Laura Milena Daza Parra, Bodo Urban:
Scaling notifications beyond alerts: from subtly drawing attention up to forcing the user to take action. - Chuanqi Tan, Fuchun Sun, Wenchang Zhang:
Deep Transfer Learning for EEG-based Brain Computer Interface. - Huazi Zhang, Jiajie Tong, Rong Li, Pengcheng Qiu, Yourui Huangfu, Chen Xu, Xianbin Wang, Jun Wang:
A Flip-Syndrome-List Polar Decoder Architecture for Ultra-Low-Latency Communications. - Aamir Mahmood, Emiliano Sisinni, Lakshmikanth Guntupalli, Raúl Rondón, Syed Ali Hassan, Mikael Gidlund:
Scalability Analysis of a LoRa Network under Imperfect Orthogonality. - M. U. B. Dias, D. D. N. De Silva, S. Fernando:
On Optimizing Deep Convolutional Neural Networks by Evolutionary Computing. - Milos Chromý, Petr Kucera:
Phase Transition in Matched Formulas and a Heuristic for Biclique Satisfiability. - Sibo Song, Yueru Chen, Ngai-Man Cheung, C.-C. Jay Kuo:
Defense Against Adversarial Attacks with Saak Transform. - Li Ye, Hong Xie, John C. S. Lui:
Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. - Zheng Li, Sheng Yang, Shlomo Shamai:
Linearly Precoded Rate Splitting: Optimality and Non-Optimality for MIMO Broadcast Channels. - Kohei Uehara, Antonio Tejero-de-Pablos, Yoshitaka Ushiku, Tatsuya Harada:
Visual Question Generation for Class Acquisition of Unknown Objects. - Honorio Salmerón Valdivieso:
Polyline defined NC trajectories parametrization. A compact analysis and solution focused on 3D Printing. - Lingni Ma, Jörg Stückler, Tao Wu, Daniel Cremers:
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform. - Stephanie Tan, Hayley Hung:
Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting. - Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox:
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. - Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrovic, Amir Zandieh, Aida Mousavifar, Ola Svensson:
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams. - Yinglong Ma, Peng Zhang, Jiangang Ma:
An Efficient Approach to Learning Chinese Judgment Document Similarity Based on Knowledge Summarization. - Sungsoo Ha, Klaus Mueller:
Metal Artifact Reduction in Cone-Beam X-Ray CT via Ray Profile Correction. - Yang Liu, Nam Dinh, Yohei Sato, Bojan Niceno:
Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results. - Loris Bozzato, Luciano Serafini, Thomas Eiter:
Reasoning with Justifiable Exceptions in Contextual Hierarchies (Appendix). - Yilun Lin, Xingyuan Dai, Li Li, Fei-Yue Wang:
An Efficient Deep Reinforcement Learning Model for Urban Traffic Control. - Rafael Peñaloza, Veronika Thost, Anni-Yasmin Turhan:
Query Answering for Rough EL Ontologies (Extended Technical Report). - Vittorio Astarita, Vincenzo Pasquale Giofrè:
From traffic conflict simulation to traffic crash simulation: introducing traffic safety indicators based on the explicit simulation of potential driver errors. - Ali Bereyhi, Mohammad Ali Sedaghat, Ralf R. Müller, Georg Fischer:
GLSE Precoders for Massive MIMO Systems: Analysis and Applications. - Rida Sara Khan, Asad Ali Zardar, Zeeshan Bhatti:
Artificial Intelligence based Smart Doctor using Decision Tree Algorithm. - Andrii Striuk:
Designing a blended learning of system programming for software engineering bachelors. - Andreas Kamilaris, Frank O. Ostermann:
Geospatial Analysis and Internet of Things in Environmental Informatics. - Tong Shen, Shuo Zhang, Riqing Chen, Jin Wang, Jinsong Hu, Feng Shu, Jiangzhou Wang:
Two Practical Random-Subcarrier-Selection Methods for Secure Precise Wireless Transmission. - Paul Gölz, Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
The Fluid Mechanics of Liquid Democracy. - Lin Wu, Yang Wang, Junbin Gao, Xue Li:
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification. - Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Honza Cernocký:
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies. - Bing Zhu, Kenneth W. Shum, Hui Li:
On the Duality and File Size Hierarchy of Fractional Repetition Codes. - Yuanbo Hou, Qiuqiang Kong, Shengchen Li:
Audio Tagging With Connectionist Temporal Classification Model Using Sequential Labelled Data. - Lachlan Dowling, Tomas Poblete, Isaac Hook, Hao Tang, Ying Tan, Will Glenn, Ranjith R. Unnithan:
Accurate indoor mapping using an autonomous unmanned aerial vehicle (UAV). - Paolo Santini, Marco Baldi, Franco Chiaraluce:
Assessing and countering reaction attacks against post-quantum public-key cryptosystems based on QC-LDPC codes. - Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger:
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. - Ferdinando Fioretto, Pascal Van Hentenryck:
Differential Private Stream Processing of Energy Consumption. - Mihaela Todorova, Borislav Stoyanov, Krzysztof Szczypiorski, Krasimir Kordov:
SHAH: Hash Function based on Irregularly Decimated Chaotic Map. - Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh, Sattar Hashemi, Raouf Khayami:
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence. - Dror Freirich, Ron Meir, Aviv Tamar:
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN. - Gilles Baechler, Miranda Krekovic, Juri Ranieri, Amina Chebira, Yue M. Lu, Martin Vetterli:
Super Resolution Phase Retrieval for Sparse Signals. - Vuong M. Ngo:
Discovering Latent Information By Spreading Activation Algorithm For Document Retrieval. - Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu:
A Survey on Deep Transfer Learning. - Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge:
Adversarial Vision Challenge. - Liang Huang, Suzhi Bi, Ying-Jun Angela Zhang:
Deep Reinforcement Learning for Online Offloading in Wireless Powered Mobile-Edge Computing Networks. - Anil Maheshwari, Arash Nouri, Jörg-Rüdiger Sack:
Time-Dependent Shortest Path Queries Among Growing Discs. - Christos K. Kourtellaris, Constantinos Psomas, Ioannis Krikidis:
Stability and Throughput Analysis of Multiple Access Networks with Finite Blocklength Constraints. - Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz:
Simultaneous Edge Alignment and Learning. - Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, Gerard J. Gorman:
Devito: an embedded domain-specific language for finite differences and geophysical exploration. - Narkhede Kunal Sanjay, Shyamanta M. Hazarika:
Bionic Reflex Control Strategy for Robotic Finger with Kinematic Constraints. - Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Robust Secrecy Energy Efficient Beamforming in MISOME-SWIPT Systems With Proportional Fairness. - Yuanchun Li, Ziyue Yang, Yao Guo, Xiangqun Chen, Yuvraj Agarwal, Jason I. Hong:
Automated Extraction of Personal Knowledge from Smartphone Push Notifications. - Daniele Ramazzotti, Peter Clardy, Leo Anthony Celi, David J. Stone, Robert S. Rudin:
Withholding aggressive treatments may not accelerate time to death among dying ICU patients. - Yifan Gao, Vicente González, Tak Wing Yiu:
The Effectiveness of Traditional Tools and Computer-Aided Technologies for Health and Safety Training in the Construction Sector: A Systematic Review. - Saeedeh Shekarpour, Ankita Saxena, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth:
Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter. - Chatdanai Dorkson, Siaw-Lynn Ng:
Multi-Message Private Information Retrieval using Product-Matrix MSR and MBR Codes. - Jesse Michel, Sushruth Reddy, Rikhav Shah, Sandeep Silwal, Ramis Movassagh:
Directed Random Geometric Graphs. - Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li:
Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning. - Stratos Idreos, Kostas Zoumpatianos, Brian Hentschel, Michael S. Kester, Demi Guo:
The Internals of the Data Calculator. - B. M. S. Bahar Talukder, Joseph Kerns, Biswajit Ray, Thomas Morris, Md. Tauhidur Rahman:
Exploiting DRAM Latency Variations for Generating True Random Numbers. - Andrii M. Striuk, Maryna V. Rassovytska:
The system of cloud oriented learning tools as an element of educational and scientific environment of high school. - Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah, Jing Jiang:
Did you take the pill? - Detecting Personal Intake of Medicine from Twitter. - Zaiwei Zhang, Zhenpei Yang, Chongyang Ma, Linjie Luo, Alexander Huth, Etienne Vouga, Qixing Huang:
Deep Generative Modeling for Scene Synthesis via Hybrid Representations. - Boris Kramer, Karen Willcox:
Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition. - DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew Botvinick, David J. Schwab:
Learning to Share and Hide Intentions using Information Regularization. - Brian A. Freno, Kevin T. Carlberg:
Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations. - Phuc C. Nguyen, Thomas Gilray, Sam Tobin-Hochstadt, David Van Horn:
Size-Change Termination as a Contract. - Michael T. Schaub, Santiago Segarra:
Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space. - Cynthia Freeman, Jonathan Merriman, Abhinav Aggarwal, Ian Beaver, Abdullah Mueen:
Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis. - Weina Wang, Siva Theja Maguluri, R. Srikant, Lei Ying:
Heavy-Traffic Insensitive Bounds for Weighted Proportionally Fair Bandwidth Sharing Policies. - Ali Pour Yazdanpanah, Onur Afacan, Simon K. Warfield:
Non-Learning based Deep Parallel MRI Reconstruction (NLDpMRI). - Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan:
Structure Learning for Relational Logistic Regression: An Ensemble Approach. - Haotian Chi, Qiang Zeng, Xiaojiang Du, Jiaping Yu:
Cross-App Interference Threats in Smart Homes: Categorization, Detection and Handling. - Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho:
Attentive Semantic Alignment with Offset-Aware Correlation Kernels. - Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti:
Probabilistic Causal Analysis of Social Influence. - Paul Hongsuck Seo, Tobias Weyand, Jack Sim, Bohyung Han:
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps. - Ben Nassi, Moshe Sror, Ido Lavi, Yair Meidan, Asaf Shabtai, Yuval Elovici:
Piping Botnet - Turning Green Technology into a Water Disaster. - Seyed Yahya Nikouei, Yu Chen, Sejun Song, Timothy R. Faughnan:
Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service. - Bogdan S. Chlebus, Vicent Cholvi, Pawel Garncarek, Tomasz Jurdzinski, Dariusz R. Kowalski:
Routing in Wireless Networks with Interferences. - Tao Hu, Honggang Qi, Cong Huang, Qingming Huang, Yan Lu, Jizheng Xu:
Weakly Supervised Local Attention Network for Fine-Grained Visual Classification. - William Ledbetter, William Bradley Glisson, Todd McDonald, Todd R. Andel, George Grispos, Kim-Kwang Raymond Choo:
Digital Blues: An Investigation into the Use of Bluetooth Protocols. - Benjamin Eckart, Kihwan Kim, Jan Kautz:
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data. - David Eppstein, Daniel Lokshtanov:
The Parameterized Complexity of Finding Point Sets with Hereditary Properties. - Chun-Fu Chen, Quanfu Fan, Marco Pistoia, Gwo Giun Lee:
Efficient Fusion of Sparse and Complementary Convolutions for Object Recognition and Detection. - Jayadev Acharya, Clément L. Canonne, Cody Freitag, Himanshu Tyagi:
Test without Trust: Optimal Locally Private Distribution Testing. - Fengxiang He, Tongliang Liu, Geoffrey I Webb, Dacheng Tao:
Instance-Dependent PU Learning by Bayesian Optimal Relabeling. - Filipe Marques Barbosa, Lucas Barbosa Marcos, Maíra Martins da Silva, Marco Henrique Terra, Valdir Grassi Jr.:
Robust path-following control for articulated heavy-duty vehicles. - Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas:
Quantized Densely Connected U-Nets for Efficient Landmark Localization. - Don Joven Agravante, Giovanni De Magistris, Asim Munawar, Phongtharin Vinayavekhin, Ryuki Tachibana:
Deep Learning with Predictive Control for Human Motion Tracking. - Siyuan Huang, Siyuan Qi, Yixin Zhu, Yinxue Xiao, Yuanlu Xu, Song-Chun Zhu:
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image. - Xiaofeng Li, Ahmed Alkhateeb, Cihan Tepedelenlioglu:
Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems. - Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury:
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. - Elijah Hradovich, Marek Klonowski, Dariusz R. Kowalski:
Power Constrained Parallel Queuing with Contention. - Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh:
Hierarchical Clustering better than Average-Linkage. - Yu-Hsuan Wang, Hung-yi Lee, Lin-Shan Lee:
Segmental Audio Word2Vec: Representing Utterances as Sequences of Vectors with Applications in Spoken Term Detection. - Jiayao Zhang, Guangxu Zhu, Robert W. Heath Jr., Kaibin Huang:
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning. - Antonio Magnani, Gabriele D'Angelo, Stefano Ferretti, Moreno Marzolla:
Anonymity and Confidentiality in Secure Distributed Simulation. - Mahardhika Pratama, Dianhui Wang:
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams. - Emre Ozfatura, Deniz Gündüz, Sennur Ulukus:
Speeding Up Distributed Gradient Descent by Utilizing Non-persistent Stragglers. - Qi Zhang, Chunping Zhang, Jinbo Ling, Qing Wang, Jingyi Yu:
A Generic Multi-Projection-Center Model and Calibration Method for Light Field Cameras. - Tian-Rui Liu, Mohamed Elmikaty, Tania Stathaki:
SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection. - Suresh Dara, Mathew C. Francis, Dalu Jacob, N. Narayanan:
The Second Neighborhood Conjecture for some Special Classes of Graphs. - Xusheng Chen, Shixiong Zhao, Cheng Wang, Senran Zhang, Heming Cui:
GEEC: Scalable, Efficient, and Consistent Consensus for Blockchains. - Sara Kardani-Moghaddam, Rajkumar Buyya, Kotagiri Ramamohanarao:
Performance-Aware Management of Cloud Resources: A Taxonomy and Future Directions. - Kai Chen, Perry Groot, Jinsong Chen, Elena Marchiori:
Multi-Output Convolution Spectral Mixture for Gaussian Processes. - Jiawang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid, WenHai Wu:
MatchBench: An Evaluation of Feature Matchers. - Tatsuya Chuman, Hitoshi Kiya:
Security Evaluation for Block Scrambling-Based Image Encryption Including JPEG Distortion against Jigsaw Puzzle Solver Attacks. - Chia-Hsuan Lee, Shang-Ming Wang, Huan-Cheng Chang, Hung-Yi Lee:
ODSQA: Open-domain Spoken Question Answering Dataset. - Davide Fucci, Cristina Palomares, Xavier Franch, Dolors Costal, Mikko Raatikainen, Martin Stettinger, Zijad Kurtanovic, Tero Kojo, Lars Koenig, Andreas A. Falkner, Gottfried Schenner, Fabrizio Brasca, Tomi Männistö, Alexander Felfernig, Walid Maalej:
Needs and Challenges for a Platform to Support Large-scale Requirements Engineering. A Multiple Case Study. - Ana Garcia del Molino, Joo-Hwee Lim, Ah-Hwee Tan:
Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams. - Subhabrata Dutta, Tanmoy Chakraborty, Dipankar Das:
How did the discussion go: Discourse act classification in social media conversations. - Alessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Ian Horrocks:
The Window Validity Problem in Rule-Based Stream Reasoning. - Jorge E. Espinosa, Sergio A. Velastin, John Willian Branch:
Motorcycle detection and classification in urban Scenarios using a model based on Faster R-CNN. - Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Perceptual Grouping. - Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Factorised Inverse-Sketching. - Pavel Kharyuk, Ivan V. Oseledets:
Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions. - Marco Capuccini, Salman Zubair Toor, Staffan Arvidsson, Ola Spjuth:
MaRe: Container-Based Parallel Computing with Data Locality. - Eunjong Choi, Kenji Fujiwara, Norihiro Yoshida, Shinpei Hayashi:
A Survey of Refactoring Detection Techniques Based on Change History Analysis. - Omid Mohamad Nezami, Len Hamey, Deborah Richards, Mark Dras:
Deep Learning for Domain Adaption: Engagement Recognition. - Osvaldo Simeone:
A Very Brief Introduction to Machine Learning With Applications to Communication Systems. - Waleed Ali, Sherif Abdelkarim, Mohamed Zahran, Mahmoud Zidan, Ahmad El Sallab:
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud. - Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew D. Blackledge, Yann Jamin, Yinyin Yuan:
Capturing global spatial context for accurate cell classification in skin cancer histology. - Talha Iqbal, Ali Dehghan Banadaki, Ali Feliachi:
Optimal voltage control using singular value decomposition of fast decoupled load flow jacobian. - Max-Jonathan Luckow, Till Fluschnik:
On the Computational Complexity of Length- and Neighborhood-Constrained Path Problems. - (Withdrawn) Troy: Give Attention to Saliency and for Saliency.
- Artuur Leeuwenberg, Marie-Francine Moens:
Word-Level Loss Extensions for Neural Temporal Relation Classification. - Mohit Srinivasan, Samuel Coogan, Magnus Egerstedt:
Control of Multi-Agent Systems with Finite Time Control Barrier Certificates and Temporal Logic. - Woongsup Lee, Ohyun Jo, Minhoe Kim:
Application of End-to-End Deep Learning in Wireless Communications Systems. - Minhoe Kim, Woongsup Lee, Jungmin Yoon, Ohyun Jo:
Building Encoder and Decoder with Deep Neural Networks: On the Way to Reality. - Antal Horváth, Charidimos Tsagkas, Simon Andermatt, Simon Pezold, Katrin Parmar, Philippe C. Cattin:
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU. - Michal Polic, Wolfgang Förstner, Tomás Pajdla:
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction. - Kariem Fahmi, Douglas J. Leith, Stepán Kucera, Holger Claussen:
Low Delay Scheduling of Objects Over Multiple Wireless Paths. - Eliza Mace, Keith Manville, Monica Barbu-McInnis, Michael Laielli, Matthew Klaric, Samuel Dooley:
Overhead Detection: Beyond 8-bits and RGB. - X. Fu, L. Riesebos, M. A. Rol, J. van Straten, J. van Someren, Nader Khammassi, Imran Ashraf, R. F. L. Vermeulen, V. Newsum, K. K. L. Loh, J. C. de Sterke, W. J. Vlothuizen, R. N. Schouten, Carmen G. Almudéver, L. DiCarlo, Koen Bertels:
eQASM: An Executable Quantum Instruction Set Architecture. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Data augmentation using synthetic data for time series classification with deep residual networks. - He Fang, Xianbin Wang, Lajos Hanzo:
Learning-Aided Physical Layer Authentication as an Intelligent Process. - Yannai A. Gonczarowski, S. Matthew Weinberg:
The Sample Complexity of Up-to-ε Multi-Dimensional Revenue Maximization. - Abderrahmen Trichili, Ki-Hong Park, Mourad Zghal, Boon S. Ooi, Mohamed-Slim Alouini:
Communicating Using Spatial Mode Multiplexing: Potentials, Challenges and Perspectives. - Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang:
SketchyScene: Richly-Annotated Scene Sketches. - Mohamed S. Nafea, Aylin Yener:
The Caching Broadcast Channel with a Wire and Cache Tapping Adversary of Type II. - Ethan Kerzner, Sarah Goodwin, Jason Dykes, Sara Jones, Miriah D. Meyer:
A Framework for Creative-Visualization Opportunities Workshops. - Sri Harish Reddy Mallidi, Roland Maas, Kyle Goehner, Ariya Rastrow, Spyros Matsoukas, Björn Hoffmeister:
Device-directed Utterance Detection. - Parker Hill, Babak Zamirai, Shengshuo Lu, Yu-Wei Chao, Michael Laurenzano, Mehrzad Samadi, Marios C. Papaefthymiou, Scott A. Mahlke, Thomas F. Wenisch, Jia Deng, Lingjia Tang, Jason Mars:
Rethinking Numerical Representations for Deep Neural Networks. - Davis W. Blalock, Samuel Madden, John V. Guttag:
Sprintz: Time Series Compression for the Internet of Things. - Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia:
Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms. - Max Ferguson, Ronay Ak, Yung-Tsun Tina Lee, Kincho H. Law:
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning. - Mina Bishay, Petar Palasek, Stefan Priebe, Ioannis Patras:
SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis. - Da Zhang, Xiyang Dai, Yuan-Fang Wang:
Dynamic Temporal Pyramid Network: A Closer Look at Multi-Scale Modeling for Activity Detection. - Arjun Muralidharan, Yasamin Mostofi:
Statistics of the Distance Traveled until Connectivity for Unmanned Vehicles. - Nare Karapetyan, Kelly Benson, Chris McKinney, Perouz Taslakian, Ioannis M. Rekleitis:
Efficient Multi-Robot Coverage of a Known Environment. - Sai Krishna Kanth Hari, Sivakumar Rathinam, Swaroop Darbha, Kalyanam Krishnamoorthy, Satyanarayana Gupta Manyam, David W. Casbeer:
Persistent Monitoring of Dynamically Changing Environments Using an Unmanned Vehicle. - Hossein Esfandiari, Silvio Lattanzi, Vahab S. Mirrokni:
Parallel and Streaming Algorithms for K-Core Decomposition. - Marco De Nadai, Bruno Lepri:
The economic value of neighborhoods: Predicting real estate prices from the urban environment. - Shray Bansal, Akansel Cosgun, Alireza Nakhaei, Kikuo Fujimura:
Collaborative Planning for Mixed-Autonomy Lane Merging. - Nare Karapetyan, Jason Moulton, Jeremy S. Lewis, Alberto Quattrini Li, Jason M. O'Kane, Ioannis M. Rekleitis:
Multi-robot Dubins Coverage with Autonomous Surface Vehicles. - Youngjae Yu, Jongseok Kim, Gunhee Kim:
A Joint Sequence Fusion Model for Video Question Answering and Retrieval. - Thibaud Ehret, Axel Davy, Jean-Michel Morel, Mauricio Delbracio:
Image Anomalies: a Review and Synthesis of Detection Methods. - B. M. S. Bahar Talukder, Biswajit Ray, Mark Tehranipoor, Domenic Forte, Md. Tauhidur Rahman:
LDPUF: Exploiting DRAM Latency Variations to Generate Robust Device Signatures. - He Yin, Andrew Packard, Murat Arcak, Peter Seiler:
Reachability Analysis Using Dissipation Inequalities For Nonlinear Dynamical Systems. - Van-Khanh Tran, Le-Minh Nguyen:
Adversarial Domain Adaptation for Variational Neural Language Generation in Dialogue Systems. - Dexin Li:
A practical Single Source Shortest Path algorithm for random directed graphs with arbitrary weight in expecting linear time. - Shuangjun Liu, Sarah Ostadabbas:
A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines. - Jette Henderson, Bradley A. Malin, Joyce C. Ho, Joydeep Ghosh:
PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization. - Mingrui Geng, Yun Deng, Qian Zhao, Qi Xie, Dong Zeng, Jianhua Ma, Wangmeng Zuo, Deyu Meng:
Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement. - Takaaki Hori, Jaejin Cho, Shinji Watanabe:
End-to-end Speech Recognition with Word-based RNN Language Models. - Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan:
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. - Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun:
Parallax: Automatic Data-Parallel Training of Deep Neural Networks. - Bohan Zhuang, Chunhua Shen, Ian D. Reid:
Training Compact Neural Networks with Binary Weights and Low Precision Activations. - Peng Gao, Pan Lu, Hongsheng Li, Shuang Li, Yikang Li, Steven Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. - Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara:
Cognitive system to achieve human-level accuracy in automated assignment of helpdesk email tickets. - Mehdi Naderi Soorki, Walid Saad, Mohammad Hossein Manshaei, Hossein Saidi:
Social Community-Aware Content Placement in Wireless Device-to-Device Communication Networks. - Xinsheng Qin, Randall J. LeVeque, Michael R. Motley:
Accelerating wave-propagation algorithms with adaptive mesh refinement using the Graphics Processing Unit (GPU). - Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson:
Adversarial Geometry and Lighting using a Differentiable Renderer. - Mathias Bürki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, Juan I. Nieto:
Appearance-Based Landmark Selection for Efficient Long-Term Visual Localization. - Mathias Bürki, Marcin Dymczyk, Igor Gilitschenski, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Map Management for Efficient Long-Term Visual Localization in Outdoor Environments. - Valentin Vielzeuf, Corentin Kervadec, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie:
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets. - Gwénaël Richomme:
Characterization of infinite LSP words and endomorphisms preserving the LSP property. - Antoine El-Hokayem, Yliès Falcone:
On the Monitoring of Decentralized Specifications Semantics, Properties, Analysis, and Simulation. - Danny Harnik, Paula Ta-Shma, Eliad Tsfadia:
It Takes Two to #MeToo - Using Enclaves to Build Autonomous Trusted Systems. - Tao Zheng:
Incrementally and inductively constructing basis of multiplicative dependence lattice of non-zero algebraic numbers. - Doo-Hyun Cho, Han-Lim Choi:
Memetic Algorithm-Based Path Generation for Multiple Dubins Vehicles Performing Remote Tasks. - Arthur Evensen, Kai-Kristian Kemell, Xiaofeng Wang, Juhani Risku, Pekka Abrahamsson:
Essencery - A Tool for Essentializing Software Engineering Practices. - Abbas Acar, Hossein Fereidooni, Tigist Abera, Amit Kumar Sikder, Markus Miettinen, Hidayet Aksu, Mauro Conti, Ahmad-Reza Sadeghi, A. Selcuk Uluagac:
Peek-a-Boo: I see your smart home activities, even encrypted! - Shang-Yu Su, Kai-Ling Lo, Yi Ting Yeh, Yun-Nung Chen:
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns. - Shirali Kadyrov, Piotr S. Skrzypacz, Yakov L. Familiant:
A simple analysis of flying capacitor converter. - Zhuosheng Zhang, Yafang Huang, Pengfei Zhu, Hai Zhao:
Effective Character-augmented Word Embedding for Machine Reading Comprehension. - Hidenobu Matsuki, Lukas von Stumberg, Vladyslav C. Usenko, Jörg Stückler, Daniel Cremers:
Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras. - Jorge Andrés Díaz Pace, Antonela Tommasel, Daniela Godoy:
Can Network Analysis Techniques help to Predict Design Dependencies? An Initial Study. - Pedro R. D'Argenio, Raúl E. Monti:
Input/Output Stochastic Automata with Urgency: Confluence and weak determinism. - Antonio Ugando:
Using Applied Behavior Analysis in Software to help Tutor Individuals with Autism Spectrum Disorder. - Adel Al-Dawood, Norah Abokhodair, Houda el Mimouni, Svetlana Yarosh:
Against Marrying a Stranger Marital Matchmaking Technologies in Saudi Arabia. - Chengyuan Zhang, Kesheng Cheng, Lei Zhu, Ruipeng Chen, Zuping Zhang, Fang Huang:
Efficient Continuous Top-k Geo-Image Search on Road Network. - Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc Le:
Backprop Evolution. - Uwe D. Hanebeck:
FLUX: Progressive State Estimation Based on Zakai-type Distributed Ordinary Differential Equations. - Rui Fan, Mohammud Junaid Bocus, Naim Dahnoun:
A Novel Disparity Transformation Algorithm for Road Segmentation. - Amir Behrouzi-Far, Emina Soljanin:
On the Effect of Task-to-Worker Assignment in Distributed Computing Systems with Stragglers. - Medina Andresel, Yazmin Angélica Ibáñez-García, Magdalena Ortiz, Mantas Simkus:
Relaxing and Restraining Queries for OBDA. - Stefan Hougardy, Xianghui Zhong:
Hard to Solve Instances of the Euclidean Traveling Salesman Problem. - Kalina Borkiewicz, Jill Naiman, Haoming Lai:
Cinematic Visualization of Multiresolution Data: Ytini for Adaptive Mesh Refinement in Houdini. - Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee:
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance. - Behafarid Darvish, Siamak Najarian, Elham Shirzad, Roozbeh Khodambashi:
A Novel Tactile Force Probe for Tissue Stiffness Classification. - Isaac Gerg, David Williams:
Additional Representations for Improving Synthetic Aperture Sonar Classification Using Convolutional Neural Networks. - Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Christian Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, Dana Kulic:
Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization. - Johannes Rieke, Fabian Eitel, Martin Weygandt, John-Dylan Haynes, Kerstin Ritter:
Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease. - Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick:
On Rich Clubs of Path-Based Centralities in Networks. - Md Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray:
A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks. - Daniel Boley, Alejandro Buendia, Golshan Golnari:
Random Walk Laplacian and Network Centrality Measures. - Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher R. Tench, Irene Gottlob, Frank Proudlock, Li Bai:
OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional. - Yue Cheng, Zheng Chai, Ali Anwar:
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. - Yuan Gong, Christian Poellabauer:
Towards Learning Fine-Grained Disentangled Representations from Speech. - Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong:
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. - Jeaneth Machicao, Marcela Alves, Murilo S. Baptista, Odemir M. Bruno:
Exploiting ergodicity of the logistic map using deep-zoom to improve security of chaos-based cryptosystems. - Chenfeng Guo, Dongrui Wu:
Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study. - Mário Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, João Gama:
Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks. - Pengfei Liu, Ji Zhang, Cane Wing-Ki Leung, Chao He, Thomas L. Griffiths:
Exploiting Effective Representations for Chinese Sentiment Analysis Using a Multi-Channel Convolutional Neural Network. - Fuchun Lin, Mahdi Cheraghchi, Venkatesan Guruswami, Reihaneh Safavi-Naini, Huaxiong Wang:
Secret Sharing with Binary Shares. - Sabidur Rahman, Tanjila Ahmed, Minh Huynh, Massimo Tornatore, Biswanath Mukherjee:
Auto-Scaling Network Resources using Machine Learning to Improve QoS and Reduce Cost. - Doo-Hyun Cho, Dae-Sung Jang, Han-Lim Choi:
Sampling-Based Tour Generation of Arbitrarily Oriented Dubins Sensor Platforms. - Wei Bi, Xiaoyun Jia, Maolin Zheng:
A Secure Multiple Elliptic Curves Digital Signature Algorithm for Blockchain. - Lijie Fan, Wen-bing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. - Jiangbo Si, Zan Li, Julian Cheng, Caijun Zhong:
Secrecy Outage Performance of Multi-antenna Wiretap Channels With Diversity Combinings Over Correlated Rayleigh Fading Channels. - Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa, Hidenori Sakanashi, Hirokazu Nosato, Toru Kouyama, Ryosuke Nakamura:
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks. - Felipe Campelo, Fernanda C. Takahashi:
Sample size estimation for power and accuracy in the experimental comparison of algorithms. - Benno Stein, Lazaro Clapp, Manu Sridharan, Bor-Yuh Evan Chang:
Safe Stream-Based Programming with Refinement Types. - Xiaofeng Xie, Zhuliang Yu, Zhenghui Gu, Yuanqing Li:
An Iterative Boundary Random Walks Algorithm for Interactive Image Segmentation. - Ireneusz Kubiak, Joe Loughry:
LED Arrays of Laser Printers as Sources of Valuable Emissions for Electromagnetic Penetration Process. - Mohammad Kamel, Neda Keyvani, Hadi Sadoghi Yazdi:
Sentimental Content Analysis and Knowledge Extraction from News Articles. - Pruthwik Mishra, Litton J. Kurisinkel, Dipti Misra Sharma:
Arithmetic Word Problem Solver using Frame Identification. - Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin:
Policy Optimization as Wasserstein Gradient Flows. - Dmitrii Chemodanov, Flavio Esposito, Prasad Calyam, Andrei M. Sukhov:
A Constrained Shortest Path Scheme for Virtual Network Service Management. - Min Jun Kim, Ribin Balachandran, Marco De Stefano, Konstantin Kondak, Christian Ott:
Passive Compliance Control of Aerial Manipulators. - Fei Wen, Danping Zou, Rendong Ying, Peilin Liu:
Efficient Outlier Removal for Large Scale Global Structure-from-Motion. - Ramy Amer, M. Majid Butt, Hesham ElSawy, Mehdi Bennis, Jacek Kibilda, Nicola Marchetti:
On Minimizing Energy Consumption for D2D Clustered Caching Networks. - Borja Martínez, Cristina Cano, Xavier Vilajosana:
A Square Peg in a Round Hole: The Complex Path for Wireless in the Manufacturing Industry. - Markus Miettinen, Paul C. van Oorschot, Ahmad-Reza Sadeghi:
Baseline functionality for security and control of commodity IoT devices and domain-controlled device lifecycle management. - Philipp Meyer, Franz Korf, Till Steinbach, Thomas C. Schmidt:
Simulation of Mixed Critical In-vehicular Networks. - Cihan Ongun, Alptekin Temizel:
Paired 3D Model Generation with Conditional Generative Adversarial Networks. - Danila A. Gorodecky, Tiziano Villa:
Hardware realization of residue number system algorithms by Boolean functions minimization. - Francesco Cellinese, Gianlorenzo D'Angelo, Gianpiero Monaco, Yllka Velaj:
Generalized budgeted submodular set function maximization. - Rui Chen, Mansur Arief, Ding Zhao:
An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles. - Wen-Feng Cheng, Chao-Chung Wu, Ruihua Song, Jianlong Fu, Xing Xie, Jian-Yun Nie:
Image Inspired Poetry Generation in XiaoIce. - Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
On feature selection and evaluation of transportation mode prediction strategies. - Kien-Giang Nguyen, Quang-Doanh Vu, Markku J. Juntti, Le-Nam Tran:
Energy Efficiency Maximization for C-RANs: Discrete Monotonic Optimization, Penalty, and l0-Approximation Methods. - Cheng-chieh Yeh, Po-chun Hsu, Ju-Chieh Chou, Hung-yi Lee, Lin-Shan Lee:
Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences. - Alex Bäuerle, Heiko Neumann, Timo Ropinski:
Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data. - Tomasz Gogacz, Yazmin Angélica Ibáñez-García, Filip Murlak:
Finite Query Answering in Expressive Description Logics with Transitive Roles. - Evgeny Kim, Roman Klinger:
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies. - Fan Wu, Matthew Howard:
A Hybrid Dynamic-regenerative Damping Scheme for Energy Regeneration in Variable Impedance Actuators. - Gianluca Micchi, Saeid Soheily-Khah, Jacob Turner:
A New Optimization Layer for Real-Time Bidding Advertising Campaigns. - Derya Malak, Muriel Médard, Edmund M. Yeh:
ARQ with Cumulative Feedback to Compensate for Burst Errors. - Milan Stute, David Kreitschmann, Matthias Hollick:
One Billion Apples' Secret Sauce: Recipe for the Apple Wireless Direct Link Ad hoc Protocol. - Mustafa S. Aljumaily:
Routing Protocols Performance in Mobile Ad-Hoc Networks Using Millimeter Wave. - Ketan Kumar Todi, Pruthwik Mishra, Dipti Misra Sharma:
Building a Kannada POS Tagger Using Machine Learning and Neural Network Models. - Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu, Geguang Pu:
Efficiently Manifesting Asynchronous Programming Errors in Android Apps. - Benjamin Bischke, Patrick Helber, Florian König, Damian Borth, Andreas Dengel:
Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. - Sanjay Krishnan, Zongheng Yang, Ken Goldberg, Joseph M. Hellerstein, Ion Stoica:
Learning to Optimize Join Queries With Deep Reinforcement Learning. - Piotr Jurkiewicz, Robert Wójcik, Jerzy Domzal, Andrzej Kamisinski:
Testing Implementation of FAMTAR: Adaptive Multipath Routing. - Simone Meyer, Victor Cornillère, Abdelaziz Djelouah, Christopher Schroers, Markus H. Gross:
Deep Video Color Propagation. - Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell:
OBOE: Collaborative Filtering for AutoML Initialization. - Yuanzheng Ci, Xinzhu Ma, Zhihui Wang, Haojie Li, Zhongxuan Luo:
User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks. - Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. - Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
3D Shape Perception from Monocular Vision, Touch, and Shape Priors. - Goritsa Ninova, Hassan Atifi:
Ethnographie de la structuration d'un corpus collectif de messages de soutien social en ligne. - Shanshan Tang, Haijun Yu:
Application of Bounded Total Variation Denoising in Urban Traffic Analysis. - Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic:
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. - Timothy T. Yuen, Maritza Reyes, Yuanlin Zhang:
Introducing Computer Science to High School Students through Logic Programming. - Zecheng He, Tianwei Zhang, Ruby B. Lee:
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting. - Muhammad Bilal, Shin-Gak Kang, Sangheon Pack:
Effective Caching for the Secure Content Distribution in Information-Centric Networking. - Chathika Gunaratne, Ivan Garibay:
NL4Py: Agent-Based Modeling in Python with Parallelizable NetLogo Workspaces. - Mike Thelwall:
Do females create higher impact research? Scopus citations and Mendeley readers for articles from five countries. - Pruthwik Mishra, Prathyusha Danda, Pranav Dhakras:
Code-Mixed Sentiment Analysis Using Machine Learning and Neural Network Approaches. - Hengameh Bagherian, Scott A. Skirlo, Yichen Shen, Huaiyu Meng, Vladimir Ceperic, Marin Soljacic:
On-Chip Optical Convolutional Neural Networks. - Alex Sherstinsky:
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network. - Curtis Madsen, Prashant Vaidyanathan, Sadra Sadraddini, Cristian Ioan Vasile, Nicholas A. DeLateur, Ron Weiss, Douglas Densmore, Calin Belta:
Metrics for Signal Temporal Logic Formulae. - Upal Mahbub, Jukka Komulainen, Denzil Ferreira, Rama Chellappa:
Continuous Authentication of Smartphones Based on Application Usage. - Nicholas DeMarinis, Stefanie Tellex, Vasileios Kemerlis, George Konidaris, Rodrigo Fonseca:
Scanning the Internet for ROS: A View of Security in Robotics Research. - Bing Yao, Hui Sun, Xiaohui Zhang, Yarong Mu, Yirong Sun, Hongyu Wang, Jing Su, Mingjun Zhang, Sihua Yang, Chao Yang:
Topological Graphic Passwords And Their Matchings Towards Cryptography. - Sergii Kushch:
The alternative bases of Boolean functions as a means of improving the structure of digital blocks. - Fred Mesnard, Peter J. Stuckey:
Pre-proceedings of the 28th International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2018). - Avisek Gupta, Shounak Datta, Swagatam Das:
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach. - Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu:
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. - Long Kong, Georges Kaddoum, Hatim Chergui:
On Physical Layer Security over Fox's H-Function Wiretap Fading Channels. - Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue:
Deep Learning for Single Image Super-Resolution: A Brief Review. - Juan de Monasterio, Alejo Salles, Carolina Lang, Diego Weinberg, Martin Minnoni, Matias Travizano, Carlos Sarraute:
Uncovering the Spread of Chagas Disease in Argentina and Mexico. - Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby:
Efficient human-like semantic representations via the Information Bottleneck principle. - Adam A. Kohan, Edward A. Rietman, Hava T. Siegelmann:
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning. - Sunny Katkuri:
A survey of data transfer and storage techniques in prevalent cryptocurrencies and suggested improvements. - Ningquan Wang, Ruxiu Liu, Roozbeh Khodambashi, Norh Asmare, A. Fatih Sarioglu:
Code-division multiplexed resistive pulse sensor networks for spatio-temporal detection of particles in microfluidic devices. - Napa Sae-Bae, Nasir D. Memon, Pitikhate Sooraksa:
Distinctiveness, complexity, and repeatability of online signature templates. - Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang:
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning. - Jinghao Shi, Shuvendu Lahiri, Ranveer Chandra, Geoffrey Challen:
VeriFi: Model-Driven Runtime Verification Framework for Wireless Protocol Implementations. - Ranveer Singh, Naomi Shaked-Monderer, Avi Berman:
Linear time algorithm to check the singularity of block graphs. - Ran Ben-Basat, Xiaoqi Chen, Gil Einziger, Ori Rottenstreich:
Efficient Measurement on Programmable Switches Using Probabilistic Recirculation. - Zhenliang Zhang, Dongdong Weng, Haiyan Jiang, Yue Liu, Yongtian Wang:
Inverse Augmented Reality: A Virtual Agent's Perspective. - Dharma Teja Vooturi, Dheevatsa Mudigere, Sasikanth Avancha:
Hierarchical Block Sparse Neural Networks. - Yeong Chan Lee, Sang-Hyuk Jung, Hong-Hee Won:
WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks. - Pengfei Zhu, Zhuosheng Zhang, Jiangtong Li, Yafang Huang, Hai Zhao:
Lingke: A Fine-grained Multi-turn Chatbot for Customer Service. - Reme Melero, David Melero-Fuentes, Josep-Manuel Rodríguez-Gairín:
Monitoring compliance with governmental and institutional open access policies across Spanish universities. - Wenchao Xia, Jun Zhang, Tony Q. S. Quek, Shi Jin, Hongbo Zhu:
Power Minimization Based Joint Task Scheduling and Resource Allocation in Downlink C-RAN. - Imane Guellil, Faiçal Azouaou, Fodil Benali, Ala-Eddine Hachani, Houda Saadane:
Hybrid approach for transliteration of Algerian arabizi: a primary study. - Zhiwen Shao, Zhilei Liu, Jianfei Cai, Yunsheng Wu, Lizhuang Ma:
Facial Action Unit Detection Using Attention and Relation Learning. - Wenpeng Yin, Dan Roth:
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. - Sleiman Mhanna, Archie C. Chapman, Gregor Verbic:
Accelerated Methods for the SOCP-relaxed Component-based Distributed Optimal Power Flow. - Jaehyung Lee, Minhyung Cho:
Exeum: A Decentralized Financial Platform for Price-Stable Cryptocurrencies. - Santiago Cortés Reina, Arno Solin, Juho Kannala:
Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones. - Vincent A. Traag, Ludo Waltman:
Systematic analysis of agreement between metrics and peer review in the UK REF. - Robert Ganian, Sebastian Ordyniak:
The Power of Cut-Based Parameters for Computing Edge Disjoint Paths. - Steffen Pauws, Albert Gatt, Emiel Krahmer, Ehud Reiter:
Making effective use of healthcare data using data-to-text technology. - Przemyslaw Glomb, Krzysztof Domino, Michal Romaszewski, Michal Cholewa:
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. - Sashank Narain, Aanjhan Ranganathan, Guevara Noubir:
Security of GPS/INS based On-road Location Tracking Systems. - Orlenys López-Pintado, Luciano García-Bañuelos, Marlon Dumas, Ingo Weber, Alexander Ponomarev:
CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain. - Ishwar Bhati, Udit Dhawan, Jayesh Gaur, Sreenivas Subramoney, Hong Wang:
MARS: Memory Aware Reordered Source. - Itai Ashlagi, Maximilien Burq, Chinmoy Dutta, Patrick Jaillet, Amin Saberi, Chris Sholley:
Maximum Weight Online Matching with Deadlines. - Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala:
Optimizing error of high-dimensional statistical queries under differential privacy. - Nantheera Anantrasirichai, Alin Achim, David R. Bull:
Atmospheric turbulence mitigation for sequences with moving objects using recursive image fusion. - Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Ektelo: A Framework for Defining Differentially-Private Computations. - Alya Geogiana Buja, Shekh Faisal Abdul-Latip, Rabiah Ahmad:
A Security Analysis of IoT Encryption: Side-channel Cube Attack on Simeck32/64. - Laurent Bulteau, Konrad K. Dabrowski, Guillaume Fertin, Matthew Johnson, Daniël Paulusma, Stéphane Vialette:
Finding a Small Number of Colourful Components. - Ahmad B. A. Hassanat:
Greedy Algorithms for Approximating the Diameter of Machine Learning Datasets in Multidimensional Euclidean Space. - Pavel Praks, Dejan Brkic:
Choosing the optimal multi-point iterative method for the Colebrook flow friction equation - Numerical validation. - Noah Frazier-Logue, Stephen José Hanson:
Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning. - Ana Carolina Lorena, Luís P. F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho:
How Complex is your classification problem? A survey on measuring classification complexity. - Belfin R. V, E. Grace Mary Kanaga, Piotr Bródka:
Overlapping community detection using superior seed set selection in social networks. - Fan Yang, Zhiyuan Chen:
Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks. - Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein, Alzheimer's Disease Neuroimaging Initiative:
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling. - Pulak Purkait, Ujwal Bonde, Christopher Zach:
Weakly supervised learning of indoor geometry by dual warping. - Zhen-Xing Xu, Kun He, Chu-Min Li:
An Iterative Path-Breaking Approach with Mutation and Restart Strategies for the MAX-SAT Problem. - Furkan Ercan, Carlo Condo, Warren J. Gross:
Improved Bit-Flipping Algorithm for Successive Cancellation Decoding of Polar Codes. - Nikola B. Kovachki, Andrew M. Stuart:
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks. - Theo McKenzie, Hermish Mehta, Luca Trevisan:
A New Algorithm for the Robust Semi-random Independent Set Problem. - Mihai-Alin Badiu, David Saad, Justin P. Coon:
Self-Organization Scheme for Balanced Routing in Large-Scale Multi-Hop Networks. - Roozbeh Khodambashi, Gil Weinberg, William Singhose, Shima Rishmawi, Varun Murali, Euisun Kim:
User oriented assessment of vibration suppression by command shaping in a supernumerary wearable robotic arm. - Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz:
Modeling Meaning Associated with Documental Entities: Introducing the Brussels Quantum Approach. - Tianyu Shi, Zhichao Wang, Chong hao Zou, Sunbo Wang, Yunqing Bao, Shihua Yuan, Xueyuan Li, Junjie Zhou:
Research on Control Method and Evaluation System of Ground Unmanned Vehicle Formation Transform. - Roozbeh Khodambashi, Mohammad Sharifzadeh, Daniel M. Aukes:
An Integrated Design and Simulation Environment for Rapid Prototyping of Laminate Robotic Mechanisms. - Mohammad Mahdi Dehshibi, Jamshid Shanbehzadeh, Mir Mohsen Pedram:
A robust image-based cryptology scheme based on cellular non-linear network and local image descriptors. - Daniel Kondratyuk, Tomás Gavenciak, Milan Straka, Jan Hajic:
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically-Rich Languages with BRNNs. - Behrooz Tahmasebi, Mohammad Ali Maddah-Ali, Seyed Abolfazl Motahari:
Genome-Wide Association Studies: Information Theoretic Limits of Reliable Learning. - Andrés Vargas, Md. Ridwan Al Iqbal, John S. Erickson, Kristin P. Bennett:
Grey-box Process Control Mining for Anomaly Monitoring and Deconstruction. - Eirini Papagiannopoulou, Grigorios Tsoumakas:
Unsupervised Keyphrase Extraction Based on Outlier Detection. - Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan:
This Time with Feeling: Learning Expressive Musical Performance. - Alessandro De Marco, Valentin Iancu, Ira Asinofsky:
COBOL to Java and Newspapers Still Get Delivered. - Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Learning to Represent Bilingual Dictionaries. - Dat Quoc Nguyen, Karin Verspoor:
From POS tagging to dependency parsing for biomedical event extraction. - Di Jiang, Yuanfeng Song, Rongzhong Lian, Siqi Bao, Jinhua Peng, Huang He, Hua Wu:
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering. - Renata Wong:
An Implementation, Empirical Evaluation and Proposed Improvement for Bidirectional Splitting Method for Argumentation Frameworks under Stable Semantics. - Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang:
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. - Dayiheng Liu, Jiancheng Lv, Kexin Yang, Qian Qu:
Ancient-Modern Chinese Translation with a Large Training Dataset. - Bai Li, Ran Zhang, Frank Rudzicz:
Dropout during inference as a model for neurological degeneration in an image captioning network. - Kai Wang, Yu Liu, Xiujuan Xu, Dan Lin:
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network. - Chris A. Mattmann, Sujen Shah, Brian Wilson:
MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution. - Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Victor Escorcia, Ranjay Krishna, Shyamal Buch, Cuong Duc Dao:
The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary. - Sayantari Ghosh, Saumik Bhattacharya, Kumar Gaurav, Yatindra Nath Singh:
Going Viral: The Epidemiological Strategy of Referral Marketing. - Pankaj Gupta, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models. - Maleknaz Nayebi, Liam Dicke, Ron Ittyipe, Chris Carlson, Guenther Ruhe:
ESSMArT Way to Manage User Requests. - Tsung-Ting Kuo, Jina Huh, Jihoon Kim, Robert E. El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu:
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool. - Riddhi Ghosal, Sanjit Chatterjee:
Privacy Preserving Multi-Server k-means Computation over Horizontally Partitioned Data. - Takeshi Kano, Naoki Matsui, Eiichi Naito, Takenobu Aoshima, Akio Ishiguro:
Swarm Robots Inspired by Friendship Formation Process. - Jiaxun Cai, Shexia He, Zuchao Li, Hai Zhao:
A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware? - Yuanxin Wu, Qi Cai, Tnieu-Kien Truong:
Fast RodFIter for Attitude Reconstruction from Inertial Measurements. - Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification. - Biao Leng, Cheng Zhang, Xiaochen Zhou, Cheng Xu, Kai Xu:
Learning Discriminative 3D Shape Representations by View Discerning Networks. - Saleh Soltan, Prateek Mittal, H. Vincent Poor:
Protecting the Grid against IoT Botnets of High-Wattage Devices. - Dimitris Cheliotis, Ioannis Kontoyiannis, Michail Loulakis, Stavros Toumpis:
A Simple Network of Nodes Moving on the Circle. - Sandi Gec, Dejan Lavbic, Marko Bajec, Vlado Stankovski:
Smart contracts for container based video conferencing services: Architecture and implementation. - Abhinav Valada, Rohit Mohan, Wolfram Burgard:
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation. - Viresh Ranjan, Heeyoung Kwon, Niranjan Balasubramanian, Minh Hoai:
Fake Sentence Detection as a Training Task for Sentence Encoding. - Tingxiang Fan, Pinxin Long, Wenxi Liu, Jia Pan:
Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios. - Babak Alipour, Mimonah Al Qathrady, Ahmed Helmy:
On the Relation Between Mobile Encounters and Web Traffic Patterns: A Data-driven Study. - Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao:
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. - Christopher P. Bridge, Michael Rosenthal, Bradley Wright, Gopal Kotecha, Florian J. Fintelmann, Fabian M. Troschel, Nityanand Miskin, Khanant Desai, William Wrobel, Ana Babic, Natalia Khalaf, Lauren Brais, Marisa Welch, Caitlin Zellers, Neil A. Tenenholtz, Mark Michalski, Brian Wolpin, Katherine P. Andriole:
Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks. - Thomas Müller, Brian McWilliams, Fabrice Rousselle, Markus Gross, Jan Novák:
Neural Importance Sampling. - Maha Elbayad, Laurent Besacier, Jakob Verbeek:
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. - Tianlin Liu:
A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values. - Ali Etemadi, Paeiz Azmi, Hamidreza Arjmandi, Nader Mokari:
Compound Poisson Noise Sources in Diffusion-based Molecular Communication. - Sihem Mesnager, Ahmet Sinak:
Several classes of minimal linear codes with few weights from weakly regular plateaued functions. - Eric Balkanski, Yaron Singer:
Parallelization does not Accelerate Convex Optimization: Adaptivity Lower Bounds for Non-smooth Convex Minimization. - Soubhik Deb, Prasanna Chaporkar, Abhay Karandikar:
Backpressure-based Resource allocation for buffer-aided underlay D2D networks. - Shengyun Wei, Kele Xu, Dezhi Wang, Feifan Liao, Huaimin Wang, Qiuqiang Kong:
Sample Mixed-Based Data Augmentation for Domestic Audio Tagging. - Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. - Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli:
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. - Yue Pan, Bisheng Yang, Fuxun Liang, Zhen Dong:
Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration. - Jetmir Haxhibeqiri, Abdulkadir Karaagac, Ingrid Moerman, Jeroen Hoebeke:
Seamless roaming and guaranteed communication using a synchronized single-hop multi-gateway 802.15.4e TSCH network. - Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua:
Adversarial Personalized Ranking for Recommendation. - Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua:
Outer Product-based Neural Collaborative Filtering. - Motoki Sato, Hiroki Ouchi, Yuta Tsuboi:
Addressee and Response Selection for Multilingual Conversation. - Paul Pu Liang, Ziyin Liu, Amir Zadeh, Louis-Philippe Morency:
Multimodal Language Analysis with Recurrent Multistage Fusion. - Hui Feng, Shanshan Wang, Shuzhi Sam Ge:
Fine-grained visual recognition with salient feature detection. - Mingming Shi, Pietro Tesi, Claudio De Persis:
Self-Triggered Network Coordination over Noisy Communication Channels. - Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom MacGillivray, David E. Newby:
Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks. - Hyesung Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim:
On-Device Federated Learning via Blockchain and its Latency Analysis. - Chaitanya Dhareshwar:
Technology utilization patterns and business growth in Small/Medium Enterprises. - Akshay Budhkar, Frank Rudzicz:
Augmenting word2vec with latent Dirichlet allocation within a clinical application. - Megan Strait:
Conceptualization and Validation of a Novel Protocol for Investigating the Uncanny Valley. - Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Structure-aware Generative Network for 3D-Shape Modeling. - Changliu Liu, Masayoshi Tomizuka:
Robot Safe Interaction System for Intelligent Industrial Co-Robots. - Badri N. Patro, Sandeep Kumar, Vinod K. Kurmi, Vinay P. Namboodiri:
Multimodal Differential Network for Visual Question Generation. - Fang-Jing Wu, Tie Luo:
WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-based Incentive. - Haroon Idrees, Mubarak Shah, Ray Surette:
Enhancing camera surveillance using computer vision: a research note. - Alexandre Chemin, François Henrotte, Jean-François Remacle, Jean Van Schaftingen:
Representing three-dimensional cross fields using 4th order tensors. - Mehmet Günel, Erkut Erdem, Aykut Erdem:
Language Guided Fashion Image Manipulation with Feature-wise Transformations. - Aditya Gopalan, Aadirupa Saha:
PAC-Battling Bandits with Plackett-Luce: Tradeoff between Sample Complexity and Subset Size. - Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Georgiana Ifrim:
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains. - Antonio Jimeno-Yepes:
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition. - Zehui Xiong, Dusit Niyato, Ping Wang, Zhu Han, Yang Zhang:
Dynamic Pricing for Revenue Maximization in Mobile Social Data Market with Network Effects. - Shizhe Zhao, Daniel Damir Harabor, David Taniar:
Faster and More Robust Mesh-based Algorithms for Obstacle k-Nearest Neighbour. - Qian Wang, Zhaojun Lu, Gang Qu:
An Entropy Analysis based Intrusion Detection System for Controller Area Network in Vehicles. - Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings, Pan Hui:
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain. - Yatao Zhong, Bicheng Xu, Guang-Tong Zhou, Luke Bornn, Greg Mori:
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction. - Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Regularizing Neural Machine Translation by Target-bidirectional Agreement. - Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, Amir Leshem, Yang Zhang:
Game Theoretic Analysis for Joint Sponsored and Edge Caching Content Service Market. - Yanpeng Zhao, Wei Bi, Deng Cai, Xiaojiang Liu, Kewei Tu, Shuming Shi:
Language Style Transfer from Sentences with Arbitrary Unknown Styles. - Hélène Plisnier, Denis Steckelmacher, Tim Brys, Diederik M. Roijers, Ann Nowé:
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice. - Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura:
CUBE: A scalable framework for large-scale industrial simulations. - Sajad Daei, Farzan Haddadi, Arash Amini:
Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information. - Chia-Hung Wan, Shun-Po Chuang, Hung-Yi Lee:
Towards Audio to Scene Image Synthesis using Generative Adversarial Network. - Jiaqi Zhang, Keyou You:
AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs. - Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Q. Phung:
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization. - Eric Kergosien, Marie-Noëlle Bessagnet, Maguelonne Teisseire, Joachim Schöpfel, Mohammad Amin Farvardin, Stéphane Chaudiron, Bernard Jacquemin, Annig Le Parc-Lacayrelle, Mathieu Roche, Christian Sallaberry, Jean-Philippe Tonneau:
Methodology for identifying study sites in scientific corpus. - Daniil Sorokin, Iryna Gurevych:
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering. - Wenchao Wang, Jianshu Zhang, Jun Du, Zi-Rui Wang, Yixing Zhu:
DenseRAN for Offline Handwritten Chinese Character Recognition. - Wenchao Wang, Jun Du, Zi-Rui Wang:
Parsimonious HMMs for Offline Handwritten Chinese Text Recognition. - Yang Liu, Youcheng Lou, Brian D. O. Anderson, Guodong Shi:
Network Flows that Solve Least Squares for Linear Equations. - Petros Giataganas, Michael Hughes, Christopher J. Payne, Piyamate Wisanuvej, Burak Temelkuran, Guang-Zhong Yang:
Intraoperative robotic-assisted large-area high-speed microscopic imaging and intervention. - Clémence Frioux, Torsten Schaub, Sebastian Schellhorn, Anne Siegel, Philipp Wanko:
Hybrid Metabolic Network Completion. - Soravit Changpinyo, Hexiang Hu, Fei Sha:
Multi-Task Learning for Sequence Tagging: An Empirical Study. - Jun Yu, Xiao-Jun Wu, Josef Kittler:
Learning Discriminative Hashing Codes for Cross-Modal Retrieval based on Multiorder Statistical Features. - Dan Alistarh, Trevor Brown, Justin Kopinsky, Giorgi Nadiradze:
Relaxed Schedulers Can Efficiently Parallelize Iterative Algorithms. - Zhiyong Sun, Héctor García de Marina, Brian D. O. Anderson, Ming Cao:
Quantization effects and convergence properties of rigid formation control systems with quantized distance measurements. - Liane Guillou, Christian Hardmeier:
Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point. - Antonis Troumpoukis, Angelos Charalambidis:
Predicate Specialization for Definitional Higher-order Logic Programs. - Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length. - Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer:
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. - Ciaffaglione Alberto, Di Gianantonio Pietro, Furio Honsell, Luigi Liquori:
A prototype-based approach to object reclassification. - Michael Schaffner, Luca Benini:
On the Feasibility of FPGA Acceleration of Molecular Dynamics Simulations. - Yevhenii O. Modlo, Serhiy O. Semerikov:
Xcos on Web as a promising learning tool for Bachelor's of Electromechanics modeling of technical objects. - Apostolos Kemos, Heike Adel, Hinrich Schütze:
Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging. - Xiao Chen, Chaoran Li, Derui Wang, Sheng Wen, Jun Zhang, Surya Nepal, Yang Xiang, Kui Ren:
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection. - Andreea Buga, Sorana Tania Nemes, Atif Mashkoor:
Addressing Client Needs for Cloud Computing using Formal Foundations. - Georgios Andreadis, Laurens Versluis, Fabian Mastenbroek, Alexandru Iosup:
A Reference Architecture for Datacenter Scheduling: Extended Technical Report. - Zhan Yang, Osolo Ian Raymond, Chengyuan Zhang, Ying Wan, Jun Long:
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition. - Shitao Tang, Litong Feng, Zhanghui Kuang, Yimin Chen, Wei Zhang:
Fast Video Shot Transition Localization with Deep Structured Models. - Chen-Kai Lin, Ching-Chun Huang, Bow-Yaw Wang:
A Spin-based model checking for the simple concurrent program on a preemptive RTOS. - Luca Felicetti, Mauro Femminella, Gianluca Reali, Pietro Liò:
Applications of molecular communications to medicine: a survey. - Dongrui Wu, Jian Huang:
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression. - Chao Ma, Jianchun Wang, Weinan E:
Model Reduction with Memory and the Machine Learning of Dynamical Systems. - Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans:
iNNvestigate neural networks! - Jan A. Bergstra, C. A. Middelburg:
A short introduction to program algebra with instructions for Boolean registers. - Laura Bozzelli, Aniello Murano, Adriano Peron:
Timed context-free temporal logics (extended version). - Mauro Femminella, Gianluca Reali, Athanasios V. Vasilakos:
A molecular communications model for drug delivery. - Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese, Bahram Marami, Marcel Prastawa, Monica Chan, Michael J. Donovan, Gerardo Fernandez, Jack Zeineh, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak, Sameh Galal, Veronica Sanchez-Freire, Nadia Brancati, Maria Frucci, Daniel Riccio, Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang, Ismaël Koné, Lahsen Boulmane, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar:
BACH: Grand Challenge on Breast Cancer Histology Images. - Falco J. Bargagli Stoffi, Giorgio Gnecco:
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. - SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik G. Learned-Miller:
Unsupervised Hard Example Mining from Videos for Improved Object Detection. - Jeremie S. Kim, Minesh Patel, Hasan Hassan, Lois Orosa, Onur Mutlu:
D-RaNGe: Violating DRAM Timing Constraints for High-Throughput True Random Number Generation using Commodity DRAM Devices. - Paul Jasek, Bernard Abayowa:
Visual Sensor Network Reconfiguration with Deep Reinforcement Learning. - Irene Teinemaa, Niek Tax, Carlos Bentes:
Automatic Playlist Continuation through a Composition of Collaborative Filters. - Laura Titolo, César A. Muñoz, Marco A. Feliú, Mariano M. Moscato:
Eliminating Unstable Tests in Floating-Point Programs. - Masoud Baghbahari Baghdadabad, Neda Hajiakhoond Bidoki:
Evaluation of estimation approaches on the quality and robustness of collision warning system. - Fabian Horst, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller, Wolfgang I. Schöllhorn:
What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis. - Ayed M. Alrashdi, Ismail Ben Atitallah, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
Precise Performance Analysis of the LASSO under Matrix Uncertainties. - Junsong Wang, Qiuwen Lou, Xiaofan Zhang, Chao Zhu, Yonghua Lin, Deming Chen:
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA. - Ximena Gutierrez-Vasques, Victor Mijangos:
Comparing morphological complexity of Spanish, Otomi and Nahuatl. - Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin:
Improving Shape Deformation in Unsupervised Image-to-Image Translation. - Maziar Raissi, Alireza Yazdani, George E. Karniadakis:
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data. - Pravakar Roy, Abhijeet Kislay, Patrick A. Plonski, James Luby, Volkan Isler:
Vision-Based Preharvest Yield Mapping for Apple Orchards. - Samir Chowdhury, Facundo Mémoli:
The Gromov-Wasserstein distance between networks and stable network invariants. - Lihua Shen, Hui Liu, He Zhong, Bo Yang, Ruijian He, Zhangxin Chen:
Numerical Simulation of Two-phase Flow in Natural Fractured Reservoirs Using Dual Porosity Method on Parallel Computers. - Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova:
Disentangled Representation Learning for Text Style Transfer. - Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. - Shantanu Das, Giuseppe Antonio Di Luna, Leszek Antoni Gasieniec:
Patrolling on Dynamic Ring Networks. - Rodrigo Morales, Foutse Khomh, Giuliano Antoniol:
Automated Refactoring: Can They Pass The Turing Test? - Yuri Burda, Harrison Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. - Jiarui Fang, Haohuan Fu, Guangwen Yang, Cho-Jui Hsieh:
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning. - David Furcy, Scott M. Summers, Christian Wendlandt:
Self-assembly of, and optimal encoding inside, thin rectangles at temperature-1 in 3D. - Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Katia P. Sycara:
Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting. - Yang Liu, Sebastien Blandin, Samitha Samaranayake:
Stochastic on-time arrival problem in transit networks. - Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sekhar Sripada, Jenna Wiens:
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images. - Qiongkai Xu, Juyan Zhang, Lizhen Qu, Lexing Xie, Richard Nock:
D-PAGE: Diverse Paraphrase Generation. - Tanya Shreedhar, Nitinder Mohan, Sanjit K. Kaul, Jussi Kangasharju:
QAware: A Cross-Layer Approach to MPTCP Scheduling. - B. Wendlassida Kabore, Bernhard Peters:
Micromechanical model for sintering and damage in viscoelastic porous ice and snow. Part I: Theory. - Ramprakash Srinivasan, Aleix M. Martínez:
Cross-Cultural and Cultural-Specific Production and Perception of Facial Expressions of Emotion in the Wild. - Binny Mathew, Hardik Tharad, Subham Rajgaria, Prajwal Singhania, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Thou shalt not hate: Countering Online Hate Speech. - Shahnawaz Alam, Rohan Banerjee, Soma Bandyopadhyay:
Murmur Detection Using Parallel Recurrent & Convolutional Neural Networks. - James Abello, Fred Hohman, Varun Bezzam, Duen Horng Chau:
Large Graph Exploration via Subgraph Discovery and Decomposition. - Sándor P. Fekete, Dominik Krupke:
Covering Tours and Cycle Covers with Turn Costs: Hardness and Approximation. - Longfei Liu, Sheng Li, Yisong Chen, Guoping Wang:
X-GANs: Image Reconstruction Made Easy for Extreme Cases. - Nizar Ouarti, David Carmona:
Out of the Black Box: Properties of deep neural networks and their applications. - Xiaojiang Li, Bill Yang Cai, Waishan Qiu, Jinhua Zhao, Carlo Ratti:
A novel method for predicting and mapping the presence of sun glare using Google Street View. - Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao, Hong Zhang:
Discriminative multi-view Privileged Information learning for image re-ranking. - Louis Dressel, Mykel J. Kochenderfer:
Efficient and Low-cost Localization of Radio Signals with a Multirotor UAV. - Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman:
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. - Evangello Flouty, Odysseas Zisimopoulos, Danail Stoyanov:
FaceOff: Anonymizing Videos in the Operating Rooms. - Aaron Pries, Peter J. Schreier, Artur Lamm, Stefan Pede, Jürgen Schmidt:
Deep Morphing: Detecting bone structures in fluoroscopic X-ray images with prior knowledge. - Rami Al-Rfou', Dokook Choe, Noah Constant, Mandy Guo, Llion Jones:
Character-Level Language Modeling with Deeper Self-Attention. - Hoa Van Nguyen, S. Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe:
Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-tagged Objects. - Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin:
Visual Reasoning with Multi-hop Feature Modulation. - Akshay Chaudhari, Zhongnan Fang, Jin Hyung Lee, Garry Gold, Brian A. Hargreaves:
Deep Learning Super-Resolution Enables Rapid Simultaneous Morphological and Quantitative Magnetic Resonance Imaging. - Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick:
Starting Movement Detection of Cyclists Using Smart Devices. - Jan Schneegans, Maarten Bieshaar:
Smart Device based Initial Movement Detection of Cyclists using Convolutional Neuronal Networks. - Garrett B. Goh, Khusheemn Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner:
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction. - Biswa P. S. Sahoo, Ching-Chun Chou, Chung-Wei Weng, Hung-Yu Wei:
Enabling Millimeter-Wave 5G Networks for Massive IoT Applications. - Jonathan Lacotte, Yinlam Chow, Mohammad Ghavamzadeh, Marco Pavone:
Risk-Sensitive Generative Adversarial Imitation Learning. - Charles Jeon, Kaipeng Li, Joseph R. Cavallaro, Christoph Studer:
Decentralized Equalization with Feedforward Architectures for Massive MU-MIMO. - Seyyedali Hosseinalipour, Anuj Nayak, Huaiyu Dai:
Allocation of Graph Jobs in Geo-Distributed Cloud Networks. - Benjamin Schnieders, Karl Tuyls:
Fast Convergence for Object Detection by Learning how to Combine Error Functions. - Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu:
DeepBase: Deep Inspection of Neural Networks. - Sashank Narain, Guevara Noubir:
Mitigating Location Privacy Attacks on Mobile Devices using Dynamic App Sandboxing. - Jialei Chen, Yujia Xie, Kan (Kevin) Wang, Zih Huei Wang, Geet Lahoti, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian:
Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation. - Felix Lau, Tom Hendriks, Jesse Lieman-Sifry, Berk Norman, Sean Sall, Daniel Golden:
ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans. - Junhong Xu, Qiwei Liu, Hanqing Guo, Aaron Kageza, Saeed AlQarni, Shaoen Wu:
Shared Multi-Task Imitation Learning for Indoor Self-Navigation. - Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin:
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding. - Feng Shu, Zaoyu Lu, Jinyong Lin, Linlin Sun, Xiaobo Zhou, Tingting Liu, Shuo Zhang, Wenlong Cai, Jinhui Lu, Jin Wang:
Alternating Iterative Secure Structure between Beamforming and Power Allocation for UAV-aided Directional Modulation Networks. - Robert Chiang, Kanstantsin Pashkovich:
On the approximability of the stable matching problem with ties of size two. - Angelina Grosso, Felice Manganiello, Shiwani Varal, Emily Zhu:
Multicast Triangular Semilattice Network. - Sakib Mahmud Khan, Mashrur Chowdhury, Mizanur Rahman, Mhafuzul Islam:
Feasibility of 5G mm-wave communication for connected autonomous vehicles. - Max Simchowitz, Kevin G. Jamieson, Jordan W. Suchow, Thomas L. Griffiths:
Adaptive Sampling for Convex Regression. - Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang:
Learning Linear Transformations for Fast Arbitrary Style Transfer. - Satya Krishna Gorti, Jeremy Ma:
Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks. - Venkatesan Guruswami, Lingfei Jin, Chaoping Xing:
Constructions of maximally recoverable local reconstruction codes via function fields. - Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, Honglak Lee:
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics. - Congmin Fan, Ying-Jun Angela Zhang, Xiaojun Yuan:
Machine Learning for Heterogeneous Ultra-Dense Networks with Graphical Representations. - Anatoliy Babic, Harshit Bansal, Gianluca Finocchio, Julian Golak, Mark Peletier, Jim Portegies, Clara Stegehuis, Anuj Tyagi, Roland Vincze, William Weimin Yoo:
SciSports: Learning football kinematics through two-dimensional tracking data. - Geethu Miriam Jacob, Sukhendu Das:
Moving Object Segmentation in Jittery Videos by Stabilizing Trajectories Modeled in Kendall's Shape Space. - Lingfei Jin:
Explicit construction of optimal locally recoverable codes of distance 5 and 6 via binary constant weight codes. - Alon Riesenberg, Yonnie Kirzon, Michael Bunin, Elad Galili, Gidi Navon, Tal Mizrahi:
Time-Multiplexed Parsing in Marking-based Network Telemetry. - Chen Wei, Wenjing Wang, Wenhan Yang, Jiaying Liu:
Deep Retinex Decomposition for Low-Light Enhancement. - Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Afzel Noore:
Learning A Shared Transform Model for Skull to Digital Face Image Matching. - A. Garcia-Uceda Juarez, Harm A. W. M. Tiddens, Marleen de Bruijne:
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks. - (Withdrawn) Two constructions of optimal pairs of linear codes for resisting side channel and fault injection attacks.
- Aaron Montag, Jürgen Richter-Gebert:
Bringing Together Dynamic Geometry Software and the Graphics Processing Unit. - Dominik Alfke, Daniel Potts, Martin Stoll, Toni Volkmer:
NFFT meets Krylov methods: Fast matrix-vector products for the graph Laplacian of fully connected networks. - Santiago Aragon, Marco Tiloca, Max Maass, Matthias Hollick, Shahid Raza:
ACE of Spades in the IoT Security Game: A Flexible IPsec Security Profile for Access Control. - Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
DeepNeuro: an open-source deep learning toolbox for neuroimaging. - Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu:
Unsupervised learning of foreground object detection. - Héctor García de Marina, Zhiyong Sun, Shaoshuai Mou:
On the stability and applications of distance-based flexible formations. - Sagar Uprety, Dawei Song:
Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach. - Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex:
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. - Abhinav Shukla, Harish Katti, Mohan S. Kankanhalli, Ramanathan Subramanian:
Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements. - Leonardo J. Colombo, Dimos V. Dimarogonas:
Motion Feasibility Conditions for Multi-Agent Control Systems on Lie Groups. - Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson:
Explaining Queries over Web Tables to Non-Experts. - Xiaoyang Li, Guangxu Zhu, Yi Gong, Kaibin Huang:
Wirelessly Powered Data Aggregation for IoT via Over-the-Air Functional Computation: Beamforming and Power Control. - Suttinee Sawadsitang, Dusit Niyato, Puay Siew Tan, Ping Wang:
Joint Ground and Aerial Package Delivery Services: A Stochastic Optimization Approach. - Ali Bereyhi, Saba Asaad, Ralf R. Müller, Rafael F. Schaefer, Amir Masoud Rabiei:
On Robustness of Massive MIMO Systems Against Passive Eavesdropping under Antenna Selection. - Javier Álvez, Itziar Gonzalez-Dios, German Rigau:
Applying the Closed World Assumption to SUMO-based Ontologies. - Zuren Feng, Ruizhi Sha, Na Lu, Chenlong He:
A Novel Sliding Mode Control for a Class of Affine Dynamic Systems. - Stephan Beyer, Markus Chimani, Joachim Spoerhase:
A Simple Primal-Dual Approximation Algorithm for 2-Edge-Connected Spanning Subgraphs. - Akash Anil, Ajay Ladhar, Sandeep Singh, Uppinder Chugh, Sanasam Ranbir Singh:
Network Sampling Using K-hop Random Walks for Heterogeneous Network Embedding. - Zhiyuan Zhang:
Primal Meaning Recommendation for Chinese Words and Phrases via Descriptions in On-line Encyclopedia. - Antoine Amarilli, Pierre Bourhis, Mikaël Monet, Pierre Senellart:
Evaluating Datalog via Tree Automata and Cycluits. - Ariel Ekgren, Amaru Cuba Gyllensten, Magnus Sahlgren:
R-grams: Unsupervised Learning of Semantic Units in Natural Language. - Flor Álvarez, Max Kolhagen, Matthias Hollick:
Sea of Lights: Practical Device-to-Device Security Bootstrapping in the Dark. - Lorenzo Neil, Sudip Mittal, Anupam Joshi:
Mining Threat Intelligence about Open-Source Projects and Libraries from Code Repository Issues and Bug Reports. - Li-Fang Cheng, Niranjani Prasad, Barbara E. Engelhardt:
An Optimal Policy for Patient Laboratory Tests in Intensive Care Units. - Flor Álvarez, Paul Gardner-Stephen, Matthias Hollick:
Maintaining both availability and integrity of communications: Challenges and guidelines for data security and privacy during disasters and crises. - Flor Álvarez, Lars Almon, Patrick Lieser, Tobias Meuser, Yannick Dylla, Björn Richerzhagen, Matthias Hollick, Ralf Steinmetz:
Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency Response. - Zhirong Wu, Alexei A. Efros, Stella X. Yu:
Improving Generalization via Scalable Neighborhood Component Analysis. - Costis Melolidakis, Stefanos Leonardos, Constandina Koki:
Measuring Market Performance with Stochastic Demand: Price of Anarchy and Price of Uncertainty. - Bo Xiong, Suyog Dutt Jain, Kristen Grauman:
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos. - Fei Zuo, Xiaopeng Li, Zhexin Zhang, Patrick Young, Lannan Luo, Qiang Zeng:
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs. - Safiollah Heidari, Mohammad Jafar Tarokh:
Analysis and Classification of Critical Success Factors for Business Conversation Manager (BCM) System Implementation in Service-Oriented Enterprises. - Tobias Harks, Veerle Timmermans:
Computing Equilibria in Atomic Splittable Polymatroid Congestion Games with Convex Costs. - Lynton Ardizzone, Jakob Kruse, Sebastian J. Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe:
Analyzing Inverse Problems with Invertible Neural Networks. - Heike Adel, Anton Bryl, David Weiss, Aliaksei Severyn:
Adversarial Neural Networks for Cross-lingual Sequence Tagging. - Jeroen Groen, Jun Wu, Ole Sigmund:
Optimization and projection of coated structures with orthotropic infill material. - Sebastian Kaltwang, Sina Samangooei, John Redford, Andrew Blake:
Imagining the Unseen: Learning a Distribution over Incomplete Images with Dense Latent Trees. - Bill Yang Cai, Xiaojiang Li, Ian Seiferling, Carlo Ratti:
Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover. - Holger Trittenbach, Adrian Englhardt, Klemens Böhm:
An Overview and a Benchmark of Active Learning for One-Class Classification. - Sergii Stirenko, Peng Gang, Wei Zeng, Yuri Gordienko, Oleg Alienin, Oleksandr Rokovyi, Nikita Gordienko:
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load. - Mengjia Yan, Christopher W. Fletcher, Josep Torrellas:
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures. - Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf:
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. - Jason Weston, Emily Dinan, Alexander H. Miller:
Retrieve and Refine: Improved Sequence Generation Models For Dialogue. - Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz:
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. - Xiaoyuan Guo, Hanyi Yu, Blair J. Rossetti, George Teodoro, Daniel J. Brat, Jun Kong:
Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape based Intensity Analysis for Overlapped Nuclei in Fluorescence In-Situ Hybridization Images. - Akash Anil, Uppinder Chugh, Sanasam Ranbir Singh:
On Applying Meta-path for Network Embedding in Mining Heterogeneous DBLP Network. - Liviu P. Dinu, Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi:
Classifier Ensembles for Dialect and Language Variety Identification. - Adrian Bulat, Georgios Tzimiropoulos:
Hierarchical binary CNNs for landmark localization with limited resources. - Ashish Chiplunkar, Michael Kapralov, Sanjeev Khanna, Aida Mousavifar, Yuval Peres:
Testing Graph Clusterability: Algorithms and Lower Bounds. - Andrea Di Maria, Andrea Araldo, Giovanni Morana, Antonella Di Stefano:
AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand. - Ankur Padia, Frank Ferraro, Tim Finin:
KGCleaner : Identifying and Correcting Errors Produced by Information Extraction Systems. - Chengyang Li, Dan Song, Ruofeng Tong, Min Tang:
Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation. - Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo:
VizML: A Machine Learning Approach to Visualization Recommendation. - Qianqian Yang, Mohammad Mohammadi Amiri, Deniz Gündüz:
Audience-Retention-Rate-Aware Caching and Coded Video Delivery with Asynchronous Demands. - Markos Viggiato, Ricardo Terra, Henrique Rocha, Marco Tulio Valente, Eduardo Figueiredo:
Microservices in Practice: A Survey Study. - Jacob McPadden, Thomas J. S. Durant, Dustin R. Bunch, Andreas Coppi, Nathan Price, Kris Rodgerson, Charles J. Torre Jr., William Byron, H. Patrick Young, Allen L. Hsiao, Harlan M. Krumholz, Wade L. Schulz:
A Scalable Data Science Platform for Healthcare and Precision Medicine Research. - Allan Borodin, Christodoulos Karavasilis, Denis Pankratov:
An Experimental Study of Algorithms for Online Bipartite Matching. - Pouya Esmaili-Dokht, Mohammad Bakhshalipour, Behnam Khodabandeloo, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
Scale-Out Processors & Energy Efficiency. - Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh:
Mitigating Sybils in Federated Learning Poisoning. - Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio:
Generalization of Equilibrium Propagation to Vector Field Dynamics. - Orly Avner, Shie Mannor:
Multi-user Communication Networks: A Coordinated Multi-armed Bandit Approach. - Etienne Boursier, Jaqueline J. Brito, Chunbin Lin, Yannis Papakonstantinou:
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees. - Seyyedali Hosseinalipour, Jie Wang, Yuanzhe Tian, Huaiyu Dai:
Infection Analysis on Irregular Networks through Graph Signal Processing. - Mattia Rebato, Michele Polese, Michele Zorzi:
Multi-Sector and Multi-Panel Performance in 5G mmWave Cellular Networks. - Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen:
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation. - Weiming Wen, Songwen Su, Zhou Yu:
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content. - Haoyang Fan, Zhongpu Xia, Changchun Liu, Yaqin Chen, Qi Kong:
An Auto-tuning Framework for Autonomous Vehicles. - Eric Horton, Chris Parnin:
Gistable: Evaluating the Executability of Python Code Snippets on GitHub. - Divyansh Kaushik, Zachary C. Lipton:
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks. - Jingshu Liu, Zachariah Zhang, Narges Razavian:
Deep EHR: Chronic Disease Prediction Using Medical Notes. - Lucian Trestioreanu:
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation. - Bin Wang, Paul G. Kry, Yuanmin Deng, Uri M. Ascher, Hui Huang, Baoquan Chen:
Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data. - Sudipta Kar, Suraj Maharjan, Thamar Solorio:
Folksonomication: Predicting Tags for Movies from Plot Synopses Using Emotion Flow Encoded Neural Network. - Hao Pan, Shilin Liu, Yang Liu, Xin Tong:
Convolutional Neural Networks on 3D Surfaces Using Parallel Frames. - Shuai Han, Xiangxue Tai, Weixiao Meng, Cheng Li:
Physical Layer Security Enhancement for Satellite Communication among Similar Channels: Relay Selection and Power Allocation. - Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li:
A framework for automatic question generation from text using deep reinforcement learning. - Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux, Ryosho Nakane, Naoki Kanazawa, Seiji Takeda, Hidetoshi Numata, Daiju Nakano, Akira Hirose:
Recent Advances in Physical Reservoir Computing: A Review. - Jingkang Wang, Jianing Zhou, Gongshen Liu:
Multiple Character Embeddings for Chinese Word Segmentation. - Sabur Baidya, Zoheb Shaikh, Marco Levorato:
FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot. - Zhiqiang Sui, Zhefan Ye, Odest Chadwicke Jenkins:
Never Mind the Bounding Boxes, Here's the SAND Filters. - Yonghyun Kim, Bong-Nam Kang, Daijin Kim:
SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection. - Oliver Karras, Kurt Schneider:
Software Professionals are Not Directors: What Constitutes a Good Video? - John Kallaugher, Michael Kapralov, Eric Price:
The Sketching Complexity of Graph and Hypergraph Counting. - Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala:
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. - Marzieh Najafi, Vahid Jamali, Derrick Wing Kwan Ng, Robert Schober:
C-RAN with Hybrid RF/FSO Fronthaul Links: Joint Optimization of RF Time Allocation and Fronthaul Compression. - Benjamin Bergougnoux, Florent Capelli, Mamadou Moustapha Kanté:
Counting Minimal Transversals of β-Acyclic Hypergraphs. - Federico Magliani, Tomaso Fontanini, Andrea Prati:
A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval. - Seyed Armin Vakil-Ghahani, Sara Mahdizadeh-Shahri, Mohammad Bakhshalipour, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
Making Belady-Inspired Replacement Policies More Effective Using Expected Hit Count. - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. - Dariush Fooladivanda, Alejandro D. Domínguez-García, Peter W. Sauer:
Utilization of Water Supply Networks for Harvesting Renewable Energy. - Kimberly McGuire, Guido de Croon, Karl Tuyls:
A Comparative Study of Bug Algorithms for Robot Navigation. - Philippe Balbiani, David Fernández-Duque, Andreas Herzig, Petar Iliev:
Frame-validity games and lower bounds on the complexity of modal axioms. - Alberto Martín-Martín, Enrique Orduña-Malea, Mike Thelwall, Emilio Delgado López-Cózar:
Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories. - Milo Honegger:
Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions. - Daniel Hanlon, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
libhclooc: Software Library Facilitating Out-of-core Implementations of Accelerator Kernels on Hybrid Computing Platforms. - Tomás Majtner, Buda Bajic, Sule Yildirim, Jon Yngve Hardeberg, Joakim Lindblad, Natasa Sladoje:
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification. - Leulseged Tesfaye Alemu, Marcello Pelillo:
Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets. - Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Cosimo Ieracitano, Hadi Larijani, Amir Hussain:
Exploiting Deep Learning for Persian Sentiment Analysis. - Heejin Park, Shuang Zhai, Long Lu, Felix Xiaozhu Lin:
StreamBox-TZ: A Secure IoT Analytics Engine at the Edge. - Imane Guellil, Ahsan Adeel, Faiçal Azouaou, Amir Hussain:
SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis. - Zhaoyang Zhang, Zhanghui Kuang, Ping Luo, Litong Feng, Wei Zhang:
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos. - Marco Carbone, Luís Cruz-Filipe, Fabrizio Montesi, Agata Murawska:
Multiparty Classical Choreographies. - Mohanad Obeed, Anas M. Salhab, Mohamed-Slim Alouini, Salam A. Zummo:
On Optimizing VLC Networks for Downlink Multi-User Transmission: A Survey. - Martin Degeling, Christine Utz, Christopher Lentzsch, Henry Hosseini, Florian Schaub, Thorsten Holz:
We Value Your Privacy ... Now Take Some Cookies: Measuring the GDPR's Impact on Web Privacy. - María Alpuente, Angel Cuenca-Ortega, Santiago Escobar, José Meseguer:
Homeomorphic Embedding modulo Combinations of Associativity and Commutativity Axioms. - Mattia Rebato, Michele Zorzi:
A Spectrum Sharing Solution for the Efficient Use of mmWave Bands in 5G Cellular Scenarios. - Danfeng Hong, Naoto Yokoya, Jian Xu, Xiaoxiang Zhu:
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification. - Wei Xu, Yuzhuo Wei, Ying Cui, Zhi Liu:
Energy-Efficient Multi-View Video Transmission with View Synthesis-Enabled Multicast. - Yue Wang, Laura R. Humphrey, Zhanrui Liao, Huanfei Zheng:
Trust-based Multi-Robot Symbolic Motion Planning with a Human-in-the-Loop. - Luyan Xu, Zeon Trevor Fernando, Xuan Zhou, Wolfgang Nejdl:
LogCanvas: Visualizing Search History Using Knowledge Graphs. - Abhijit Mahalunkar, John D. Kelleher:
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. - Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastao Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. - Faris B. Mismar, Jinseok Choi, Brian L. Evans:
A Framework for Automated Cellular Network Tuning with Reinforcement Learning. - Songtao Feng, Jing Yang:
Age of Information Minimization for an Energy Harvesting Source with Updating Erasures: With and Without Feedback. - Laura Grebenstein, Jens Kirchner, Renata Stavracakis Peixoto, Wiebke Zimmermann, Florian Irnstorfer, Wayan Wicke, Arman Ahmadzadeh, Vahid Jamali, Georg Fischer, Robert Weigel, Andreas Burkovski, Robert Schober:
Biological Optical-to-Chemical Signal Conversion Interface: A Small-scale Modulator for Molecular Communications. - Wayan Wicke, Arman Ahmadzadeh, Vahid Jamali, Harald Unterweger, Christoph Alexiou, Robert Schober:
Magnetic Nanoparticle Based Molecular Communication in Microfluidic Environments. - Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He:
A Simple but Hard-to-Beat Baseline for Session-based Recommendations. - Tauhidul Alam, Gregory Murad Reis, Leonardo Bobadilla, Ryan N. Smith:
An Underactuated Vehicle Localization Method in Marine Environments. - Mehrdad Hessar, Ali Najafi, Shyamnath Gollakota:
NetScatter: Enabling Large-Scale Backscatter Networks. - Isabel Garcia-Contreras, José F. Morales, Manuel V. Hermenegildo:
Multivariant Assertion-based Guidance in Abstract Interpretation. - Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi:
Building medical image classifiers with very limited data using segmentation networks. - Jin L. C. Guo, Natawut Monaikul, Jane Cleland-Huang:
Domain Knowledge Discovery Guided by Software Trace Links. - João Marcelo Borovina Josko, João Eduardo Ferreira:
Vis4DD: A visualization system that supports Data Quality Visual Assessment. - Wentao Zhu, Yufang Huang, Hui Tang, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie:
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation. - Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley Osher, Yingyong Qi, Jack Xin:
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. - Leonardo Amado, João Paulo Aires, Ramon Fraga Pereira, Mauricio Cecilio Magnaguagno, Roger Granada, Felipe Meneguzzi:
LSTM-Based Goal Recognition in Latent Space. - Hemant Malik, Ovidiu Daescu, Ramaswamy Chandrasekaran:
Edge Disjoint Spanning Trees in an Undirected Graph with E=2(V-1). - Mohammad-Reza Sadeghi, Farzane Amirzade:
Edge Coloring Technique to Remove Small Elementary Trapping Sets from Tanner Graph of QC-LDPC Codes with Column Weight 4. - Eduardo R. Rodrigues, Igor Oliveira, Renato L. F. Cunha, Marco A. S. Netto:
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast. - Brian Reinhardt, Isaac Gerg, Daniel Brown, Joonho Park:
Measuring Human Assessed Complexity in Synthetic Aperture Sonar Imagery Using the Elo Rating System. - Ashkan Yousefpour, Caleb Fung, Tam Nguyen, Krishna Kadiyala, Fatemeh Jalali, Amirreza Niakanlahiji, Jian Kong, Jason P. Jue:
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey. - Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio:
DNN Feature Map Compression using Learned Representation over GF(2). - Seyed Hamidreza Mohammadi, Taehwan Kim:
Investigation of Using Disentangled and Interpretable Representations for One-shot Cross-lingual Voice Conversion. - (Withdrawn) Incorporating Consistency Verification into Neural Data-to-Document Generation.
- Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani:
Toward domain-invariant speech recognition via large scale training. - Yudong Guo, Juyong Zhang, Lin Cai, Jianfei Cai, Jianmin Zheng:
Self-supervised CNN for Unconstrained 3D Facial Performance Capture from an RGB-D Camera. - Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. - Ruinan Zhang, Fanglan Zheng, Wei Min:
Sequential Behavioral Data Processing Using Deep Learning and the Markov Transition Field in Online Fraud Detection. - Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo:
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems. - Filip Korzeniowski, Gerhard Widmer:
Improved Chord Recognition by Combining Duration and Harmonic Language Models. - Sunil Prakash, Gaelan Gu:
Simultaneous Localization And Mapping with depth Prediction using Capsule Networks for UAVs. - János Végh:
Limitations of performance of Exascale Applications and supercomputers they are running on. - Filip Korzeniowski, Gerhard Widmer:
Genre-Agnostic Key Classification With Convolutional Neural Networks. - Filip Korzeniowski, Gerhard Widmer:
Automatic Chord Recognition with Higher-Order Harmonic Language Modelling. - Aleksy Schubert, Jacek Chrzaszcz:
Formalisation of a frame stack semantics for a Java-like language. - Szu-Wei Fu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang:
Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model based on BLSTM. - Hiroaki Togashi, Yasuaki Koga, Hiroshi Furukawa:
Criminal Fishing System Based on Wireless Local Area Network Access Points - Can Media Access Control address assist criminal investigation? - Guang Li, Xin Yang, Duanbing Chen, Anxing Song, Yu Ke Fang, Junlin Zhou:
Tool Breakage Detection using Deep Learning. - Anurag Dwarakanath, Manish Ahuja, Samarth Sikand, Raghotham M. Rao, R. P. Jagadeesh Chandra Bose, Neville Dubash, Sanjay Podder:
Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing. - Thomas Lukaseder, Shreya Ghosh, Frank Kargl:
Mitigation of Flooding and Slow DDoS Attacks in a Software-Defined Network. - Zhenyue Qin, Tom Gedeon, Sabrina Caldwell:
Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions. - Feng Yuan, Lina Yao, Boualem Benatallah:
Adversarial Collaborative Auto-encoder for Top-N Recommendation. - Daming Cao, Lin Zhou, Vincent Y. F. Tan:
Strong Converse for Hypothesis Testing Against Independence over a Two-Hop Network. - Silverio Martínez-Fernández, Petar Jovanovic, Xavier Franch, Andreas Jedlitschka:
Towards Automated Data Integration in Software Analytics. - Tejo Chalasani, Jan Ondrej, Aljosa Smolic:
Egocentric Gesture Recognition for Head-Mounted AR devices. - Pierre Matysiak, Mairéad Grogan, Mikaël Le Pendu, Martin Alain, Aljosa Smolic:
A Pipeline for Lenslet Light Field Quality Enhancement. - Andreas Humenberger, Maximilian Jaroschek, Laura Kovács:
Aligator.jl - A Julia Package for Loop Invariant Generation. - Fei Wen, Lei Chu, Peilin Liu, Robert C. Qiu:
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning. - Semyon Khokhriakov, Ravi Reddy, Alexey L. Lastovetsky:
Novel Model-based Methods for Performance Optimization of Multithreaded 2D Discrete Fourier Transform on Multicore Processors. - Alexandros Nikou, Dimos V. Dimarogonas:
Decentralized Tube-based Model Predictive Control of Uncertain Nonlinear Multi-Agent Systems. - Miikka Kuutila, Mika Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Using Experience Sampling to link Software Repositories with Emotions and Work Well-Being. - Erdem Koyuncu, Xun Zou, Hamid Jafarkhani:
Interleaving Channel Estimation and Limited Feedback for Point-to-Point Systems with a Large Number of Transmit Antennas. - Wei Li, Xuancheng Ren, Damai Dai, Yunfang Wu, Houfeng Wang, Xu Sun:
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions. - Tomasz Stanisz, Jaroslaw Kwapien, Stanislaw Drozdz:
Linguistic data mining with complex networks: a stylometric-oriented approach. - Chao Chen, Wenrui Diao, Yingpei Zeng, Shanqing Guo, Chengyu Hu:
DRLGENCERT: Deep Learning-based Automated Testing of Certificate Verification in SSL/TLS Implementations. - He He, Dongrui Wu:
Transfer Learning for Brain-Computer Interfaces: An Euclidean Space Data Alignment Approach. - Salah Uddin Ahmed, Ingrid Sundbø, Jon Kvisli, Jon Atle Gulla, Letizia Jaccheri, Anh Nguyen-Duc:
Evaluation of team dynamic in Norwegian projects for IT students. - Antoine El-Hokayem, Yliès Falcone:
Bringing Runtime Verification Home - A Case Study on the Hierarchical Monitoring of Smart Homes. - Lukas Cavigelli, Luca Benini:
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. - Petros Papapanagiotou, Jacques D. Fleuriot:
Correct-by-construction Process Composition Using Classical Linear Logic Inference. - Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López:
Metric Learning for Novelty and Anomaly Detection. - Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop:
Occlusion Resistant Object Rotation Regression from Point Cloud Segments. - Meng Zheng, Srikrishna Karanam, Richard J. Radke:
Measuring the Temporal Behavior of Real-World Person Re-Identification. - Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Robust training of recurrent neural networks to handle missing data for disease progression modeling. - Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
A Survey on Influence Maximization in a Social Network. - Myeongjun Jang, Pilsung Kang:
Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition. - Boyu Lu, Jun-Cheng Chen, Carlos D. Castillo, Rama Chellappa:
An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification. - Jianbo Guo, Yuxi Li, Weiyao Lin, Yurong Chen, Jianguo Li:
Network Decoupling: From Regular to Depthwise Separable Convolutions. - Pepa Atanasova, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness. - Robert Greinacher, Franziska Horn:
The DALPHI annotation framework & how its pre-annotations can improve annotator efficiency. - Qingpeng Li, Lichao Mou, Qizhi Xu, Yun Zhang, Xiao Xiang Zhu:
R3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos. - Samuel Albanie, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild. - Mark van der Wilk, Matthias Bauer, S. T. John, James Hensman:
Learning Invariances using the Marginal Likelihood. - Hafsteinn Einarsson, Marcelo Matheus Gauy, Johannes Lengler, Florian Meier, Asier Mujika, Angelika Steger, Felix Weissenberger:
The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates. - Evangelos Georganas, Sasikanth Avancha, Kunal Banerjee, Dhiraj D. Kalamkar, Greg Henry, Hans Pabst, Alexander Heinecke:
Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures. - Jan Wichelmann, Ahmad Moghimi, Thomas Eisenbarth, Berk Sunar:
MicroWalk: A Framework for Finding Side Channels in Binaries. - Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander:
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. - Giuseppe Petracca, Jens Grossklags, Patrick D. McDaniel, Trent Jaeger:
Regulating Access to System Sensors in Cooperating Programs. - Zhao Zhong, Zichen Yang, Boyang Deng, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
BlockQNN: Efficient Block-wise Neural Network Architecture Generation. - Umer Huzaifa, Catherine Maguire, Amy LaViers:
Toward an Expressive Bipedal Robot: Variable Gait Synthesis and Validation in a Planar Model. - Yi-Lin Tuan, Hung-Yi Lee:
Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation. - Andrey Kutuzov, Alexander Panchenko, Sarah Kohail, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann:
Learning Graph Embeddings from WordNet-based Similarity Measures. - Dron Khanna, Anh Nguyen-Duc, Xiaofeng Wang:
From MVPs to pivots: a hypothesis-driven journey of two software startups. - Anh Nguyen-Duc, Xiaofang Weng, Pekka Abrahamsson:
A preliminary study of agility in business and production - Cases of early-stage hardware startups. - Cosimo Ieracitano, Ahsan Adeel, Mandar Gogate, Kia Dashtipour, Francesco Carlo Morabito, Hadi Larijani, Ali Raza, Amir Hussain:
Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. - Yaman Kumar, Agniv Sharma, Abhigyan Khaund, Akash Kumar, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
IceBreaker: Solving Cold Start Problem for Video Recommendation Engines. - Srikant Manas Kala, Vanlin Sathya, M. Pavan Kumar Reddy, Betty Lala, Bheemarjuna Reddy Tamma:
A Socio-inspired CALM Approach to Channel Assignment Performance Prediction and WMN Capacity Estimation. - Timothy Chu, Michael B. Cohen, Jakub W. Pachocki, Richard Peng:
Constant Arboricity Spectral Sparsifiers. - Lea Schönherr, Katharina Kohls, Steffen Zeiler, Thorsten Holz, Dorothea Kolossa:
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding. - Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz:
Predicting Human Trustfulness from Facebook Language. - Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu:
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization. - Anis Elgabli, Ali Elghariani, Vaneet Aggarwal, Mark R. Bell:
QoE-Aware Resource Allocation for Small Cells. - Bhaskar DasGupta, Mano Vikash Janardhanan:
How did the shape of your network change? (On detecting anomalies in static and dynamic networks via change of non-local curvatures). - Kaiming Shen, Wei Yu, Licheng Zhao, Daniel P. Palomar:
Coordinated Scheduling and Spectrum Sharing via Matrix Fractional Programming. - Barbara J. Grosz, David Gray Grant, Kate Vredenburgh, Jeff Behrends, Lily Hu, Alison Simmons, Jim Waldo:
Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Education. - Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang:
Graph Edit Distance Computation via Graph Neural Networks. - Louise Pumar, Rafael Barbastefano, Diego Carvalho:
Bus transport network analysis in Rio de Janeiro based on topological models using Social Networks. - Federico Terraneo, Fabiano Riccardi, Alberto Leva:
Jitter-compensated VHT and its application to WSN clock synchronization. - Aditya Siddhant, Zachary C. Lipton:
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study. - Mohammad Roohitavaf, Jung-Sang Ahn, Woon-Hak Kang, Kun Ren, Gene Zhang, Sami Ben-Romdhane, Sandeep S. Kulkarni:
Session Guarantees with Raft and Hybrid Logical Clocks. - Nelson F. Liu, Jonathan May, Michael Pust, Kevin Knight:
Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words. - Mark Akoev, Olga Moskaleva, Vladimir Pislyakov:
Confidence and RISC: How Russian papers indexed in the national citation database Russian Index of Science Citation (RISC) characterize universities and research institutes. - Ziyi Bao, Luis Muñoz-González, Emil C. Lupu:
Mitigation of Adversarial Attacks through Embedded Feature Selection. - Viral Thakar, Walid Ahmed, Mohammad M. Soltani, Jia Yuan Yu:
Ensemble-based Adaptive Single-shot Multi-box Detector. - Viral Thakar, Himani Saini, Walid Ahmed, Mohammad M. Soltani, Ahmed Aly, Jia Yuan Yu:
Efficient Single-Shot Multibox Detector for Construction Site Monitoring. - Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation from Image Collections. - Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, Wangmeng Zuo, Debin Zhao:
Convolutional Neural Networks based Intra Prediction for HEVC. - Jing Zhong, Roy D. Yates, Emina Soljanin:
Multicast With Prioritized Delivery: How Fresh is Your Data? - Yan Shen, Mingchen Gao:
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. - Seokki Lee, Bertram Ludäscher, Boris Glavic:
PUG: A Framework and Practical Implementation for Why & Why-Not Provenance (extended version). - C.-H. Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér:
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Xiaoliang Wang, Peng Cheng, Xinchuan Liu, Benedict Uzochukwu:
Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV. - Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Ming Zhou:
Read + Verify: Machine Reading Comprehension with Unanswerable Questions. - Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague:
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. - Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Youngjun Kwak, Jae-Joon Han, Changkyu Choi:
Joint Training of Low-Precision Neural Network with Quantization Interval Parameters. - Ming-Jun Lai, Daniel McKenzie:
Semi-Supervised Cluster Extraction via a Compressive Sensing Approach. - Stéphane Le Roux, Arno Pauly, Mickael Randour:
Extending finite-memory determinacy by Boolean combination of winning conditions. - Su Li, Michael Gastpar:
Single-Server Multi-Message Private Information Retrieval with Side Information. - Mingchuan Zhou, Mahdi Hamad, Jakob Weiss, Abouzar Eslami, Kai Huang, Mathias Maier, Chris P. Lohmann, Nassir Navab, Alois Knoll, M. Ali Nasseri:
Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images. - Ran Ben-Basat, Guy Even, Ken-ichi Kawarabayashi, Gregory Schwartzman:
Optimal Distributed Weighted Set Cover Approximation. - Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider:
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. - Somdip Dey, Asoke Nath, Shalabh Agarwal:
Confidential Encrypted Data Hiding and Retrieval Using QR Authentication System. - Aloïs Pourchot, Nicolas Perrin, Olivier Sigaud:
Importance mixing: Improving sample reuse in evolutionary policy search methods. - Federico Terraneo, Alberto Leva, Silvano Seva, Martina Maggio, Alessandro Vittorio Papadopoulos:
Reverse Flooding: exploiting radio interference for efficient propagation delay compensation in WSN clock synchronization. - Abdullah M. Zyarah, Dhireesha Kudithipudi:
Neuromorphic Architecture for the Hierarchical Temporal Memory. - Junsheng Fu, Said Pertuz, Jiri Matas, Joni-Kristian Kämäräinen:
Performance Analysis and Robustification of Single-query 6-DoF Camera Pose Estimation. - Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck:
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes. - He He, Dongrui Wu:
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach. - Zahra Shakeri Hossein Abad, Vincenzo Gervasi, Didar Zowghi, Ken Barker:
ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information. - Daqing Liu, Zheng-Jun Zha, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Sequence-Level Image Captioning. - Damien Desfontaines, Andreas Lochbihler, David A. Basin:
Cardinality Estimators do not Preserve Privacy. - Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina A. Hulsbergen van de Kaa, Geert J. S. Litjens:
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. - Luiz Marques Afonso, João Antonio Marcondes Dutra Bastos, Clarisse Sieckenius de Souza, Renato Fontoura de Gusmão Cerqueira:
The Case for API Communicability Evaluation: Introducing API-SI with Examples from Keras. - Ali Mohammad Hayajneh, Syed Ali Reza Zaidi, Desmond C. McLernon, M. Z. Win, A. Imran, Mounir Ghogho:
Optimal Coverage and Rate in Downlink Cellular Networks: A SIR Meta-Distribution Based Approach. - David Tellez, Maschenka Balkenhol, Irene Otte-Höller, Rob van de Loo, Rob Vogels, Peter Bult, Carla Wauters, Willem Vreuls, Suzanne Mol, Nico Karssemeijer, Geert J. S. Litjens, Jeroen van der Laak, Francesco Ciompi:
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. - Christoph Ager, Benedikt Schott, Magnus Winter, Wolfgang A. Wall:
A Nitsche-based cut finite element method for the coupling of incompressible fluid flow with poroelasticity. - Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim:
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. - Ahmed Hindy, Aria Nosratinia:
On the Separability of Ergodic Fading MIMO Channels: A Lattice Coding Approach. - Josemar Alves Caetano, Gabriel Magno, Evandro Cunha, Wagner Meira Jr., Humberto Torres Marques-Neto, Virgílio A. F. Almeida:
Characterizing the public perception of WhatsApp through the lens of media. - Sharad Joshi, Suraj Saxena, Nitin Khanna:
First Steps Toward CNN based Source Classification of Document Images Shared Over Messaging App. - Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele:
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation. - Hao Chen, Maria Vasardani, Stephan Winter:
Disambiguating fine-grained place names from descriptions by clustering. - Tarun Kumar Gupta, Khalid Raza:
Optimizing Deep Neural Network Architecture: A Tabu Search Based Approach. - I-Lun Tseng, Valerio Perez, Yongfu Li, Zhao Chuan Lee, Vikas Tripathi, Yoong Seang Jonathan Ong:
Creation and Fixing of Lithography Hotspots with Synopsys Tools. - Vikas Tripathi, Valerio Perez, Yongfu Li, Zhao Chuan Lee, I-Lun Tseng, Jonathan Ong:
Context-Aware DFM Rule Analysis and Scoring Using Machine Learning. - Liang Bao, Xin Liu, Weizhao Chen:
Learning-based Automatic Parameter Tuning for Big Data Analytics Frameworks. - Elias Kärle, Dieter Fensel:
Heuristics for publishing dynamic content as structured data with schema.org. - Md Mostofa Kamal Tareq, Omid Semiari, Mohsen Amini Salehi, Walid Saad:
Ultra Reliable, Low Latency Vehicle-to-Infrastructure Wireless Communications with Edge Computing. - Momena Monwar, Omid Semiari, Walid Saad:
Optimized Path Planning for Inspection by Unmanned Aerial Vehicles Swarm with Energy Constraints. - Amit Kachroo, Mehmet Kemal Özdemir, Hatice Tekiner-Mogulkoc:
Optimization of LTE Radio Resource Block Allocation for Maritime Channels. - Jan Kallberg:
Supremacy by Accelerated Warfare through the Comprehension Barrier and Beyond: Reaching the Zero Domain and Cyberspace Singularity. - Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Support Neighbor Loss for Person Re-Identification. - Yufei Wang, Zhe L. Lin, Xiaohui Shen, Jianming Zhang, Scott Cohen:
Concept Mask: Large-Scale Segmentation from Semantic Concepts. - Darlington Ahiale Akogo, Vincent Appiah, Xavier-Lewis Palmer:
CellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network. - Mateus Rocha de Paula, Natashia Boland, Andreas T. Ernst, Alexandre Mendes, Martin W. P. Savelsbergh:
Maximising Throughput in a Complex Coal Export System. - Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio Streams. - Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, Weiming Hu:
Distractor-aware Siamese Networks for Visual Object Tracking. - Thomas F. J.-M. Pasquier, Xueyuan Han, Thomas Moyer, Adam M. Bates, Olivier Hermant, David M. Eyers, Jean Bacon, Margo Seltzer:
Runtime Analysis of Whole-System Provenance. - Maneesh Bilalpur, Mohan S. Kankanhalli, Stefan Winkler, Ramanathan Subramanian:
EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification. - Rushan Ziatdinov, Valerijan G. Muftejev, Rustam I. Akhmetshin, Alexander P. Zelev, Rifkat I. Nabiyev, Albert R. Mardanov:
Universal software platform for visualizing class F curves, log-aesthetic curves and development of applied CAD systems. - Ohad Elishco, Farzad Farnoud, Moshe Schwartz, Jehoshua Bruck:
The Capacity of Some Pólya String Models. - Ismail Ipek, Rushan Ziatdinov:
New Approaches and Trends in the Philosophy of Educational Technology for Learning and Teaching Environments. - Luis Espinosa Anke, Steven Schockaert:
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors. - Jyothi Krishna V. S, Shankar Balachandran:
Compiler Enhanced Scheduling for OpenMP for Heterogeneous Multiprocessors. - Gehui Shen, Zhi-Hong Deng, Ting Huang, Xi Chen:
Learning to Compose over Tree Structures via POS Tags. - Till Hoffmann, Leto Peel, Renaud Lambiotte, Nick S. Jones:
Community detection in networks with unobserved edges. - Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty:
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement. - Bing Yu, Jingfeng Wu, Zhanxing Zhu:
Tangent-Normal Adversarial Regularization for Semi-supervised Learning. - Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. - Naresh Manwani, Mohit Chandra:
Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels. - Hatem A. Alharbi, Mohamed O. I. Musa, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Real-time Emissions of Telecom Core Networks. - Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficiency of Server-Centric PON Data Center Architecture for Fog Computing. - Opeyemi O. Ajibola, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
On Energy Efficiency of Networks for Composable Datacentre Infrastructures. - Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Impact of Link Failures on the Performance of MapReduce in Data Center Networks. - Sharon Hensley Alford, Piyush Madan, Shilpa Mahatma, Italo Buleje, Yanyan Han, Fang Lu:
Effect of secular trend in drug effectiveness study in real world data. - Ida Syafiza M. Isa, Mohamed O. I. Musa, Taisir E. H. El-Gorashi, Ahmed Q. Lawey, Jaafar M. H. Elmirghani:
Energy Efficiency of Fog Computing Health Monitoring Applications. - Barzan Yosuf, Mohamed O. I. Musa, Taisir Elgorashi, Ahmed Q. Lawey, Jaafar M. H. Elmirghani:
Energy Efficient Service Distribution in Internet of Things. - Robert T. Thibault, Amanda MacPherson, Stevan Harnad, Amir Raz:
The rent's too high: Self-archive for fair online publication costs. - Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. - Chris Chao-Chun Cheng, Chen Shi, Neil Zhenqiang Gong, Yong Guan:
EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis. - A. E. A. Eltraify, Mohamed O. I. Musa, A. Al-Quzweeni, Jaafar M. H. Elmirghani:
Experimental Evaluation of Passive Optical Network Based Data Centre Architecture. - Jou-Ming Chang, Kung-Jui Pai, Ro-Yu Wu, Jinn-Shyong Yang:
The 4-Component Connectivity of Alternating Group Networks. - Di Jin, Peter Szolovits:
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. - He Bai, Yu Zhou, Jiajun Zhang, Liang Zhao, Mei-Yuh Hwang, Chengqing Zong:
Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language. - Anvitha Nandigam, Suraj Jog, D. Manjunath, Jayakrishnan Nair, B. J. Prabhu:
Sharing within limits: Partial resource pooling in loss systems. - Mohammad Reza Mohammadi:
Deep Multiple Instance Learning for Airplane Detection in High Resolution Imagery. - Shota Saito, Toshiyasu Matsushima:
Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion. - Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Francesca Bovolo, Qing Zhu:
A Fast and Robust Matching Framework for Multimodal Remote Sensing Image Registration. - Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park:
Ensemble-based Overlapping Community Detection using Disjoint Community Structures. - Pan Xiao, Bo Du, Jia Wu, Lefei Zhang, Ruimin Hu, Xuelong Li:
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation. - Jie Chen, Cheen-Hau Tan, Lap-Pui Chau:
Haze Density Estimation via Modeling of Scattering Coefficients of Iso-depth Regions. - Erjin Zhou, Zhimin Cao, Jian Sun:
GridFace: Face Rectification via Learning Local Homography Transformations. - Aya Hussein, Hussein A. Abbass:
Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges. - Vincent Breault, Sébastien Ouellet, Jim Davies:
Let CONAN tell you a story: Procedural quest generation. - Logan Lebanoff, Kaiqiang Song, Fei Liu:
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. - Taku Kudo, John Richardson:
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing. - Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Lexicosyntactic Inference in Neural Models. - Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. - Hiroki Kanezashi, Toyotaro Suzumura:
An incremental local-first community detection method for dynamic graphs. - Grégoire Payen de La Garanderie, Amir Atapour Abarghouei, Toby P. Breckon:
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery. - Maria Apostolaki, Gian Marti, Jan Müller, Laurent Vanbever:
SABRE: Protecting Bitcoin against Routing Attacks. - Amirhossein Akbar Tabatabai, Raheleh Jalali:
Universal Proof Theory: Semi-analytic Rules and Craig Interpolation. - Amirhossein Akbar Tabatabai, Raheleh Jalali:
Universal Proof Theory: Semi-analytic Rules and Uniform Interpolation. - Michael A. Forbes, Zander Kelley:
Pseudorandom Generators for Read-Once Branching Programs, in any Order. - Alison Lui, Antonios Anastasopoulos, David Chiang:
Neural Machine Translation of Text from Non-Native Speakers. - Lei Zhu, Jun Long, Chengyuan Zhang, Ruipeng Chen, Xinpan Yuan, Zhan Yang:
An Efficient Approach for Geo-Multimedia Cross-Modal Retrieval. - Jianjun Lei, Lijie Niu, Huazhu Fu, Bo Peng, Qingming Huang, Chunping Hou:
Person Re-Identification by Semantic Region Representation and Topology Constraint. - Liang Wang, Sujian Li, Wei Zhao, Kewei Shen, Meng Sun, Ruoyu Jia, Jingming Liu:
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension. - Kirshan Kumar Luhana, Matthias Mueller, Christian Schindler, Wolfgang Slany, Bernadette Spieler:
Rock bottom, the world, the sky: Catrobat, an extremely large-scale and long-term visual coding project relying purely on smartphones. - Tobias Grubenmann, Abraham Bernstein, Dmitry Moor, Sven Seuken:
FedMark: A Marketplace for Federated Data on the Web. - John M. Abowd, Ian M. Schmutte:
An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices. - Bin Wang, Fenxiao Chen, Angela Wang, C.-C. Jay Kuo:
Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding. - Pingzhong Tang, Dingli Yu, Shengyu Zhao:
Group-Strategyproof mechanisms for facility location with Euclidean distance. - Zhiqing Luo, Wei Wang, Jiang Xiao, Qianyi Huang, Tao Jiang, Qian Zhang:
Authenticating On-Body Backscatter by Exploiting Propagation Signatures. - Aniruddha Mazumdar, Jaya Singh, Yosha Singh Tomar, Prabin Kumar Bora:
Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network. - Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, Rajkumar Buyya:
GPU PaaS Computation Model in Aneka Cloud Computing Environment. - Will Powell, E. Jason Riedy, Jeffrey S. Young:
Wrangling Rogues: Managing Experimental Post-Moore Architectures. - Weirui Kong, Wenyi Wang:
A Distribution Similarity Based Regularizer for Learning Bayesian Networks. - Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber:
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality. - J. Klinger, J. Mateos-Garcia, K. Stathoulopoulos:
Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology. - Davide Falessi, Justin Roll, Jin Guo, Jane Cleland-Huang:
Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes. - Jorge Andrés Díaz Pace, Antonela Tommasel, Daniela Godoy:
Towards Anticipation of Architectural Smells using Link Prediction Techniques. - Raul Gomez, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas:
Learning to Learn from Web Data through Deep Semantic Embeddings. - Raul Gomez, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas:
Learning from #Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods. - Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Progressive Operational Perceptron with Memory. - Osama Makansi, Eddy Ilg, Thomas Brox:
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images. - Honglei Miao, Michael Faerber:
Configurable Distributed Physical Downlink Control Channel for 5G New Radio: ResourceBundling and Diversity Trade-off. - Maarten Vanhoof, Fernando Reis, Zbigniew Smoreda, Thomas Ploetz:
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art. - Honglei Miao, Markus D. Mueck, Michael Faerber:
Amplitude Quantization for Type-2 Codebook Based CSI Feedback in New Radio System. - Katerina Sotiraki, Manolis Zampetakis, Giorgos Zirdelis:
PPP-Completeness with Connections to Cryptography. - Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. - Madhura Thosar, Christian A. Mueller, Sebastian Zug:
What Stands-in for a Missing Tool? A Prototypical Grounded Knowledge-based Approach to Tool Substitution. - Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati:
CapsDeMM: Capsule network for Detection of Munro's Microabscess in skin biopsy images. - Dmitry Suvorov, Ge Dong, Roman Zhukov:
Deep Residual Network for Sound Source Localization in the Time Domain. - Stefan Reif, Andreas Schmidt, Timo Hönig, Thorsten Herfet, Wolfgang Schröder-Preikschat:
X-Lap: A Systems Approach for Cross-Layer Profiling and Latency Analysis for Cyber-Physical Networks. - Ally Salim Jr.:
Synthetic Patient Generation: A Deep Learning Approach Using Variational Autoencoders. - Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot, Alzheimer's Disease Neuroimaging Initiative:
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. - Patrick Jahnke, Emmanuel Stapf, Jonas Mieseler, Gerhard Neumann, Patrick Eugster:
Towards Fine Grained Network Flow Prediction. - Nitish Nag, Vaibhav Pandey, Preston J. Putzel, Hari Bhimaraju, Srikanth Krishnan, Ramesh C. Jain:
Cross-Modal Health State Estimation. - Amin Tahmasbi-Sarvestani, Hossein Nourkhiz Mahjoub, Yaser P. Fallah, Ehsan Moradi-Pari, Oubada Abuchaar:
Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application. - Yevhenii B. Shapovalov, Zhanna I. Bilyk, Artem I. Atamas, Viktor B. Shapovalov:
The Potential of Using Google Expeditions and Google Lens Tools under STEM-education in Ukraine. - Nitish Nag, Mathias Lux, Ramesh C. Jain:
Intrinsic and Extrinsic Motivation Modeling Essential for Multi-Modal Health Recommender Systems. - Nitish Nag, Vaibhav Pandey, Ramesh C. Jain:
Endogenous and Exogenous Multi-Modal Layers in Context Aware Recommendation Systems for Health. - Mohamed R. Ibrahim, Helena Titheridge, Tao Cheng, James Haworth:
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning. - Debanjan Borthakur, Andrew Peltier, Harishchandra Dubey, Joshua Gyllinsky, Kunal Mankodiya:
SmartEAR: Smartwatch-based Unsupervised Learning for Multi-modal Signal Analysis in Opportunistic Sensing Framework. - Shohreh Hosseinzadeh, Hans Liljestrand, Ville Leppänen, Andrew Paverd:
Mitigating Branch-Shadowing Attacks on Intel SGX using Control Flow Randomization. - Anh Nguyen-Duc, Daniela S. Cruzes, Terje Snarby, Pekka Abrahamsson:
Do software firms collaborate or compete? A model of coopetition in community-initiated OSS projects. - Keting Lu, Shiqi Zhang, Xiaoping Chen:
Learning to Dialogue via Complex Hindsight Experience Replay. - Werner Haselmayr, Daniel Wiesinger, Michael Lunglmayr:
High-Accuracy and Fault Tolerant Stochastic Inner Product Design. - Paul Fergus, Carl Chalmers, David Tully:
Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers. - Alessandro Achille, Tom Eccles, Loïc Matthey, Christopher P. Burgess, Nick Watters, Alexander Lerchner, Irina Higgins:
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. - Fangping Ye, Elsa Dupraz, Zeina Mheich, Karine Amis:
Optimized Rate-Adaptive Protograph-Based LDPC Codes for Source Coding with Side Information. - Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai:
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. - Anna Köhne, Vera Traub, Jens Vygen:
The asymmetric traveling salesman path LP has constant integrality ratio. - Ananya S. Dhawan, Biswarup Mukherjee, Shriniwas Patwardhan, Nima Akhlaghi, Gyorgy Levay, Rahsaan Holley, Wilsaan M. Joiner, Michelle Harris-Love, Siddhartha Sikdar:
Proprioceptive Sonomyographic Control: A novel method of intuitive proportional control of multiple degrees of freedom for upper-extremity amputees. - Luca Allodi, Marco Cremonini, Fabio Massacci, Woohyun Shim:
The Effect of Security Education and Expertise on Security Assessments: the Case of Software Vulnerabilities. - Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin:
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. - Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. - Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Detecting cognitive impairments by agreeing on interpretations of linguistic features. - Kenza Hamidouche, Walid Saad, Mérouane Debbah, My T. Thai, Zhu Han:
Contract-based Incentive Mechanism for LTE over Unlicensed Channels. - Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei:
The Deconfounded Recommender: A Causal Inference Approach to Recommendation. - Jingjing Zhang, Osvaldo Simeone:
Improved Latency-Communication Trade-Off for Map-Shuffle-Reduce Systems with Stragglers. - Xiaoyang Guo, Hongsheng Li, Shuai Yi, Jimmy S. J. Ren, Xiaogang Wang:
Learning Monocular Depth by Distilling Cross-domain Stereo Networks. - Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Video-to-Video Synthesis. - Peng Jin, Yang Li, Guoqing Li, Zhe Chen, Xiaojuan Zhai:
Optimized Hierarchical Power Oscillations Control for Distributed Generation Under Unbalanced Conditions. - Megan McCracken:
Artificial Neural Networks in Fluid Dynamics: A Novel Approach to the Navier-Stokes Equations. - Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang:
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. - Xi Liu, Ping-Chun Hsieh, P. R. Kumar:
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles. - George-Alexandru Adam, Petr Smirnov, Anna Goldenberg, David Duvenaud, Benjamin Haibe-Kains:
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples. - Louis Dressel, Mykel J. Kochenderfer:
On the Optimality of Ergodic Trajectories for Information Gathering Tasks. - Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. - José Apolinário Teixeira, Sami Hyrynsalmi:
How do Software Ecosystems Co-Evolve? A view from OpenStack and beyond. - Ekraam Sabir, Wael AbdAlmageed, Yue Wu, Prem Natarajan:
Deep Multimodal Image-Repurposing Detection. - Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto:
Local-Global Graph Clustering with Applications in Sense and Frame Induction. - Songle Chen, Lintao Zheng, Yan Zhang, Zhixin Sun, Kai Xu:
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification. - Alejandro Sztrajman, Jaroslav Krivánek, Alexander Wilkie, Tim Weyrich:
Image-based remapping of spatially-varying material appearance. - Sercan Ömer Arik, Heewoo Jun, Gregory F. Diamos:
Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks. - Jeeheh Oh, Jiaxuan Wang, Jenna Wiens:
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks. - Chun Ting Liu, Ming Chuan Yang, Meng Chang Chen:
Wrapped Loss Function for Regularizing Nonconforming Residual Distributions. - Tianyi Liu, Xinsong Zhang, Wanhao Zhou, Weijia Jia:
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning. - Tianqi Liu, Bo Liu:
Constrained-size Tensorflow Models for YouTube-8M Video Understanding Challenge. - Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. - Pei Lv, Shunhua Liu, Mingliang Xu, Bing Zhou:
Abnormal Event Detection and Location for Dense Crowds using Repulsive Forces and Sparse Reconstruction. - Kejie Qiu, Tong Qin, Hongwen Xie, Shaojie Shen:
Estimating Metric Poses of Dynamic Objects Using Monocular Visual-Inertial Fusion. - In-Soo Kim, Namyoon Lee, Junil Choi:
Dominant Channel Estimation via MIPS for Large-Scale Antenna Systems with One-Bit ADCs. - Hwanjin Kim, Junil Choi:
Channel Estimation for One-Bit Massive MIMO Systems Exploiting Spatio-Temporal Correlations. - Diego Patiño, Jonathan Avendaño, John Willian Branch:
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging. - Shiva Geraee, M. Shafiei, A. R. Sahami, S. Alavi:
Position Sensor-less and Adaptive Speed Design for Controlling Brush-less DC Motor Drives. - Daniel Lopez Martinez, Ke Peng, Sarah C. Steele, Arielle J. Lee, David Borsook, Rosalind W. Picard:
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals. - Olga Krestinskaya, Alex Pappachen James:
Real-time Analog Pixel-to-pixel Dynamic Frame Differencing with Memristive Sensing Circuits. - Liyun Dai, Bo Liu, Zhiming Liu, Taolue Chen:
Parameter Synthesis Problems for Parametric Timed Automata. - Adel Jaouen, Erwan Le Merrer:
zoNNscan : a boundary-entropy index for zone inspection of neural models. - Jonathan Vestin, Andreas Kassler, Johan Åkerberg:
FastReact: In-Network Control and Caching for Industrial Control Networks using Programmable Data Planes. - Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Are You Tampering With My Data? - Johannes Hellrich, Bernd Kampe, Udo Hahn:
Downsampling Strategies are Crucial for Word Embedding Reliability. - Daniel Hienert, Matthew Mitsui, Philipp Mayr, Chirag Shah, Nicholas J. Belkin:
The Role of the Task Topic in Web Search of Different Task Types. - Daniel Hienert:
User Interests in German Social Science Literature Search - A Large Scale Log Analysis. - Daniel Hienert, Peter Mutschke:
A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services. - Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John H. Mayer, Andy Nisbet, Mikel Luján, Steve B. Furber, Andrew J. Davison, Paul H. J. Kelly, Michael F. P. O'Boyle:
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. - Jörg Tiedemann, Yves Scherrer:
Translational Grounding: Using Paraphrase Recognition and Generation to Demonstrate Semantic Abstraction Abilities of MultiLingual NMT. - Fahad Qasmi, Mohammad Shehab, Hirley Alves, Matti Latva-aho:
Optimum Transmission Rate in Fading Channels with Markovian Sources and QoS Constraints. - Dario Rethage, Johanna Wald, Jürgen Sturm, Nassir Navab, Federico Tombari:
Fully-Convolutional Point Networks for Large-Scale Point Clouds. - Dario Rethage, Federico Tombari, Felix Achilles, Nassir Navab:
Deep Learned Full-3D Object Completion from Single View. - Kfir Aberman, Mingyi Shi, Jing Liao, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or:
Deep Video-Based Performance Cloning. - Seid Muhie Yimam, Chris Biemann:
Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive Paraphrasing. - Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang:
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks. - Carla Mouradian, Narjes Tahghigh Jahromi, Roch H. Glitho:
NFV and SDN - based Distributed IoT Gateway for Large-Scale Disaster Management. - Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial training for multi-context joint entity and relation extraction. - Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
Self-supervised learning of a facial attribute embedding from video. - Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang:
Multi-Source Pointer Network for Product Title Summarization. - Noha Radwan, Abhinav Valada, Wolfram Burgard:
Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing. - Desislava C. Dimitrova, John Liagouris, Sebastian Wicki, Moritz Hoffmann, Vasiliki Kalavri, Timothy Roscoe:
DeltaPath: dataflow-based high-performance incremental routing. - Matthias R. Brust, Grégoire Danoy, Pascal Bouvry, Dren Gashi, Himadri Pathak, Mike P. Gonçalves:
Defending against Intrusion of Malicious UAVs with Networked UAV Defense Swarms. - Rafael S. Gonçalves, Mark A. Musen:
The Variable Quality of Metadata About Biological Samples Used in Biomedical Experiments. - Xingyu Zhou, Jian Tan, Ness B. Shroff:
Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions. - Cor-Paul Bezemer, Simon Eismann, Vincenzo Ferme, Johannes Grohmann, Robert Heinrich, Pooyan Jamshidi, Weiyi Shang, André van Hoorn, Monica Villaviencio, Jürgen Walter, Felix Willnecker:
How is Performance Addressed in DevOps? A Survey on Industrial Practices. - Hans L. Bodlaender, Marieke van der Wegen, Tom C. van der Zanden:
Stable divisorial gonality is in NP. - Matthew Fahrbach, Vahab S. Mirrokni, Morteza Zadimoghaddam:
Non-monotone Submodular Maximization with Nearly Optimal Adaptivity Complexity. - Faheem Zafari, Jian Li, Kin K. Leung, Don Towsley, Ananthram Swami:
A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds. - Marin Toromanoff, Émilie Wirbel, Frédéric Wilhelm, Camilo Vejarano, Xavier Perrotton, Fabien Moutarde:
End to End Vehicle Lateral Control Using a Single Fisheye Camera. - Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun:
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation. - Farzane Yahyanejad, Bahram Sadeghi Bigham:
Greedy Harmony Search Algorithm for the Hop Constrained Connected Facility Location. - Thomas Nedelec, Marc Abeille, Clément Calauzènes, Noureddine El Karoui, Benjamin Heymann, Vianney Perchet:
Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems. - Farzane Yahyanejad, Bahram Sadeghi Bigham:
Iterated Greedy Algorithms for the Hop-Constrained Steiner Tree Problem. - Mahesh Balasubramanian, Trevor Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer E. Bouchard:
Optimizing the Union of Intersections LASSO (UoILASSO) and Vector Autoregressive (UoIVAR) Algorithms for Improved Statistical Estimation at Scale. - Jiaqi Liu, Shengjie Guo, Sa Xiao, Miao Pan, Xiangwei Zhou, Geoffrey Ye Li, Gang Wu, Shaoqian Li:
Resource Allocation for Cooperative D2D-Enabled Wireless Caching Networks. - J. Gerard Wolff:
Mathematics as information compression via the matching and unification of patterns. - Chi Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Gaussian Word Embedding with a Wasserstein Distance Loss. - Muhammad Yahya, Jawad Ali Shah, Arif Warsi, Kushsairy Kadir, Sheroz Khan, M. Izani:
Real Time Elbow Angle Estimation Using Single RGB Camera. - Anu Shrestha, Francesca Spezzano, Maria Soledad Pera:
Who is Really Affected by Fraudulent Reviews? An analysis of shilling attacks on recommender systems in real-world scenarios. - James Sullivan, Collin Weir, Austin Reichert, R. Todd Evans, W. Cyrus Proctor, Nicolas Thorne:
Student Cluster Competition 2017, Team University ofTexas at Austin/Texas State University: Reproducing Vectorization of the Tersoff Multi-Body Potential on the Intel Skylake and NVIDIA V100 Architectures. - Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC : Question Answering in Context. - Siva Reddy, Danqi Chen, Christopher D. Manning:
CoQA: A Conversational Question Answering Challenge. - Shinhoo Kang, Tan Bui-Thanh, Todd Arbogast:
A Hybridized Discontinuous Galerkin Method for A Linear Degenerate Elliptic Equation Arising from Two-Phase Mixtures. - Samuel Läubli, Rico Sennrich, Martin Volk:
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation. - Mohammad Shehab, Endrit Dosti, Hirley Alves, Matti Latva-aho:
Statistical QoS provisioning for MTC Networks under Finite Blocklength. - Tarek R. Besold, Sara L. Uckelman:
The What, the Why, and the How of Artificial Explanations in Automated Decision-Making. - Fernando S. Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato:
CoBaR: Confidence-Based Recommender. - Haiyin Wang, Mireille Boutin, Jeffery Trask, Jan P. Allebach:
Three Efficient, Low-Complexity Algorithms for Automatic Color Trapping. - Nadisanka Rupasinghe, Yavuz Yapici, Ismail Güvenç, Monisha Ghosh, Yuichi Kakishima:
Angle Feedback for NOMA Transmission in mmWave Drone Networks. - Shihao Ju, Theodore S. Rappaport:
Millimeter-wave Extended NYUSIM Channel Model for Spatial Consistency. - Ahmed Douik, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
A Tutorial on Clique Problems in Communications and Signal Processing. - Yury Zemlyanskiy, Fei Sha:
Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner. - Muneeb Aadil, Rafia Rahim, Sibt ul Hussain:
Improving Super-Resolution Methods via Incremental Residual Learning. - Soumil Mandal, Anil Kumar Singh:
Language Identification in Code-Mixed Data using Multichannel Neural Networks and Context Capture. - Yi Liu, Liang He, Weiwei Liu, Jia Liu:
Exploring a Unified Attention-Based Pooling Framework for Speaker Verification. - Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe:
MobilityMirror: Bias-Adjusted Transportation Datasets. - Mostafa Mohammadkarimi, Muhammad Ahmad Raza, Octavia A. Dobre:
Signature-based Non-orthogonal Multiple Access (S-NOMA) for Massive Machine-Type Communications in 5G. - Manuel Ortega-Rodríguez, Hugo Solís-Sánchez, Ricardo Gamboa-Alfaro:
Deciding the status of controversial phonemes using frequency distributions; an application to semiconsonants in Spanish. - Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi:
Fisher Information and Natural Gradient Learning of Random Deep Networks. - Kianoush Hosseini, Caiyi Zhu, Ahmad Khan, Raviraj S. Adve, Wei Yu:
Optimizing the MIMO Cellular Downlink: Multiplexing, Diversity, or Interference Nulling? - Dylan Drover, M. V. Rohith, Ching-Hang Chen, Amit Agrawal, Ambrish Tyagi, Cong Phuoc Huynh:
Can 3D Pose be Learned from 2D Projections Alone? - Jun Chen, Xiaoming Zhang, Yu Wu, Zhao Yan, Zhoujun Li:
Keyphrase Generation with Correlation Constraints. - Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou:
Neural Latent Extractive Document Summarization. - Deli Chen, Shuming Ma, Pengcheng Yang, Xu Sun:
Identifying High-Quality Chinese News Comments Based on Multi-Target Text Matching Model. - Min Chen, Wei Li, Giancarlo Fortino, Yixue Hao, Long Hu, Iztok Humar:
A Dynamic Service-Migration Mechanism in Edge Cognitive Computing. - Krishnamoorthy Dinesh, Samir Otiv, Jayalal Sarma:
New Bounds for Energy Complexity of Boolean Functions. - Yadan Luo, Ziwei Wang, Zi Huang, Yang Yang, Cong Zhao:
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning. - Vishesh Jain, Frederic Koehler, Andrej Risteski:
Mean-field approximation, convex hierarchies, and the optimality of correlation rounding: a unified perspective. - Hayato Okumoto, Mitsuo Yoshida, Kyoji Umemura, Yuko Ichikawa:
Response Collector: A Video Learning System for Flipped Classrooms. - Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He:
Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. - Petrus Dwi Ananto Pamungkas:
Library Information System Audit Senayan Library Management System (SLiMS) Using ISO 9126. - Oren Zeev-Ben-Mordehai, Wouter Duivesteijn, Mykola Pechenizkiy:
Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally. - Chongyang Tao, Wei Wu, Can Xu, Yansong Feng, Dongyan Zhao, Rui Yan:
Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots. - Karanbir Singh Chahal, Kuntal Dey:
A Survey of Modern Object Detection Literature using Deep Learning. - Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. - Michael Hind, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, Kush R. Varshney:
Increasing Trust in AI Services through Supplier's Declarations of Conformity. - Grigorii Trofimiuk, Nikolay Iakuba, Stanislav Rets, Kirill Ivanov, Peter Trifonov:
Block Sequential Decoding Techniques for Polar Subcodes. - Jinchao Liu, Stuart J. Gibson, Margarita Osadchy:
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning. - Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal:
Deep Adaptive Temporal Pooling for Activity Recognition. - Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie:
CentralNet: a Multilayer Approach for Multimodal Fusion. - Haodong Li, Bin Li, Shunquan Tan, Jiwu Huang:
Detection of Deep Network Generated Images Using Disparities in Color Components. - Arnaud Banos, Pierre-Olivier Chasset, Hadrien Commenges, Clémentine Cottineau, Denise Pumain, Juste Raimbault:
A spatialised bibliometrics approach of a scientific journal production. - Milad Nasr, Alireza Bahramali, Amir Houmansadr:
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning. - Dongxiang Zhang, Lei Wang, Nuo Xu, Bing Tian Dai, Heng Tao Shen:
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. - Yanbei Chen, Xiatian Zhu, Shaogang Gong:
Deep Association Learning for Unsupervised Video Person Re-identification. - Yi Zhang, Jingjing Xu, Pengcheng Yang, Xu Sun:
Learning Sentiment Memories for Sentiment Modification without Parallel Data. - Bruce Ferwerda, Mark P. Graus:
Predicting Musical Sophistication from Music Listening Behaviors: A Preliminary Study. - Yang Liu, Lixin Ji, Ruiyang Huang, Tuosiyu Ming, Chao Gao:
An Attention-Gated Convolutional Neural Network for Sentence Classification. - Abdullah M. Zyarah, Dhireesha Kudithipudi:
Semi-Trained Memristive Crossbar Computing Engine with In-Situ Learning Accelerator. - Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh, Muktabh Mayank Srivastava:
Multidomain Document Layout Understanding using Few Shot Object Detection. - Thomas Gietzen, Robert Brylka, Jascha Achenbach, Katja zum Hebel, Elmar Schömer, Mario Botsch, Ulrich Schwanecke, Ralf Schulze:
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness. - Hwiyeol Jo:
Deep Extrofitting: Specialization and Generalization of Expansional Retrofitting Word Vectors using Semantic Lexicons. - Sean Sirur, Jason R. C. Nurse, Helena Webb:
Are we there yet? Understanding the challenges faced in complying with the General Data Protection Regulation (GDPR). - Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir:
Multi-Branch Siamese Networks with Online Selection for Object Tracking. - Yi Chu, Tong Peng, David Grace, Alister G. Burr:
Implementation of Uplink Network Coded Modulation for Two-Hop Networks. - Mohab Aly, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Washizaki, Soumaya Yacout:
Is Fragmentation a Threat to the Success of the Internet of Things? - Ying Chen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang:
Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics. - Gábor György Gulyás, Dolière Francis Somé, Nataliia Bielova, Claude Castelluccia:
To Extend or not to Extend: on the Uniqueness of Browser Extensions and Web Logins. - Renata Khasanova, Pascal Frossard:
Isometric Transformation Invariant Graph-based Deep Neural Network. - Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su:
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. - Tu Nguyen, Markus Rokicki:
On the Predictability of non-CGM Diabetes Data for Personalized Recommendation. - Lamar Burton, Yemeserach Mekonnen, Arif I. Sarwat, Shekhar Bhansali, Krish Jayachandran:
Exploring Wireless Sensor Network Technology In Sustainable Okra Garden: A Comparative Analysis Of Okra Grown In Different Fertilizer Treatments. - Deunsol Yoon, Dongbok Lee, SangKeun Lee:
Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding. - Charith Mendis, Saman P. Amarasinghe, Michael Carbin:
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks. - Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem:
Manipulating Attributes of Natural Scenes via Hallucination. - Victor Vaquero, Germán Ros, Francesc Moreno-Noguer, Antonio M. Lopez, Alberto Sanfeliu:
Joint Coarse-And-Fine Reasoning for Deep Optical Flow. - Trisha Datta, Noah Apthorpe, Nick Feamster:
A Developer-Friendly Library for Smart Home IoT Privacy-Preserving Traffic Obfuscation. - Saurabh Banga, Harsh Gehani, Sanket Bhilare, Sagar Patel, Levent Kara:
3D Topology Optimization using Convolutional Neural Networks. - Siyu Huang, Xi Li, Zhiqi Cheng, Zhongfei Zhang, Alexander G. Hauptmann:
Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance. - Zhuqing Jia, Hua Sun, Syed Ali Jafar:
Cross Subspace Alignment and the Asymptotic Capacity of X-Secure T-Private Information Retrieval. - Yang He, Xuanyi Dong, Guoliang Kang, Yanwei Fu, Yi Yang:
Progressive Deep Neural Networks Acceleration via Soft Filter Pruning. - Unaiza Ahsan, Rishi Madhok, Irfan A. Essa:
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition. - Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig:
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. - Richard Chen, Faisal Mahmood, Alan L. Yuille, Nicholas J. Durr:
Rethinking Monocular Depth Estimation with Adversarial Training. - Debanjan Ghosh, Alexander Richard Fabbri, Smaranda Muresan:
Sarcasm Analysis using Conversation Context. - Seunghoon Hong, Xinchen Yan, Thomas Huang, Honglak Lee:
Learning Hierarchical Semantic Image Manipulation through Structured Representations. - Pei Peng, Emina Soljanin:
On Distributed Storage Allocations of Large Files for Maximum Service Rate. - Michael Carl Tschantz, Serge Egelman, Jaeyoung Choi, Nicholas Weaver, Gerald Friedland:
The Accuracy of the Demographic Inferences Shown on Google's Ad Settings. - Konstantinos Gavriil, Alexander Schiftner, Helmut Pottmann:
Optimizing B-spline surfaces for developability and paneling architectural freeform surfaces. - Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu:
Training Deeper Neural Machine Translation Models with Transparent Attention. - Abhimanyu Mitra, Kannan Achan, Sushant Kumar:
Robust Counterfactual Inferences using Feature Learning and their Applications. - Bo Yang, Jun Li, Xiaosu Xu, Hong Zhang:
Towards A Deep Insight into Landmark-based Visual Place Recognition: Methodology and Practice. - Jianyu Wang, Gauri Joshi:
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms. - Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang:
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. - Michael D. Ekstrand, Mucun Tian, Mohammed R. Imran Kazi, Hoda Mehrpouyan, Daniel Kluver:
Exploring Author Gender in Book Rating and Recommendation. - Andrey Lovakov, Vladimir Pislyakov:
Stakes are higher, risk is lower: Citation distributions are more equal in high quality journals. - Nathan J. Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso:
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. - Yunchou Xing, Theodore S. Rappaport:
Propagation Measurement System and Approach at 140 GHz-Moving to 6G and Above 100 GHz. - Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz, Dusit Niyato, Ping Wang:
Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter. - Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren:
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. - Linqing Gui, Mengxia Yang, Xiaobo Zhou, Feng Shu, Jun Li, Jiangzhou Wang, Jinhui Lu:
Robust Directional Modulation Design for Secrecy Rate Maximization in Multi-User Networks. - Jungho So, Youngchul Sung, Yong Hoon Lee:
Tomlinson-Harashima Precoding-Aided Multi-Antenna Non-Orthogonal Multiple Access. - Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong:
Latent Dirichlet Allocation for Internet Price War. - John-Thones Amenyo:
Principles, Paradigms and the Future of UAV Drone Teams in Use for Engineering and Operation of Landscape-Scale Deployable Structures. - Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin:
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. - John-Thones Amenyo:
Using Digital Twins and Intelligent Cognitive Agencies to Build Platforms for Automated CxO Future of Work. - Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici:
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. - Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang, Ming Zhou:
Attention-Guided Answer Distillation for Machine Reading Comprehension. - Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen:
Playing 20 Question Game with Policy-Based Reinforcement Learning. - Michele Polese, Rittwik Jana, Velin Kounev, Ke Zhang, Supratim Deb, Michele Zorzi:
Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks. - Viktoria Stray, Nils Brede Moe, Dag I. K. Sjøberg:
Daily Stand-Up Meetings: Start Breaking the Rules. - Junkun Chen, Kaiyu Chen, Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
Exploring Shared Structures and Hierarchies for Multiple NLP Tasks. - Haoxuan You, Yifan Feng, Rongrong Ji, Yue Gao:
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition. - Wajdi Zaghouani, Anis Charfi:
Arap-Tweet: A Large Multi-Dialect Twitter Corpus for Gender, Age and Language Variety Identification. - Michele Volpi, Devis Tuia:
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images. - Mario Arioli, Carola Kruse, Ulrich Rüde, Nicolas Tardieu:
An iterative generalized Golub-Kahan algorithm for problems in structural mechanics. - Chang-Ick Song, Hoon Lee, Kyoung-Jae Lee:
Optimal Precoder Designs for Sum-utility Maximization in SWIPT-enabled Multi-user MIMO Cognitive Radio Networks. - Chang-Ick Song:
Leakage Rate Analysis for Artificial Noise Assisted Massive MIMO with Non-coherent Passive Eavesdropper in Block-fading. - Qinbing Fu, Nicola Bellotto, Shigang Yue:
A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment. - Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Discriminative out-of-distribution detection for semantic segmentation. - Mohamad Mahdi Kassir, Maziar Palhang, Mohammad Reza Ahmadzadeh:
Qualitative vision-based navigation based on sloped funnel lane concept. - Meysam Sadeghi, Erik G. Larsson:
Adversarial Attacks on Deep-Learning Based Radio Signal Classification. - Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier:
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs. - Alexandros Efremidis, Joshua Schmidt, Sebastian Krings, Philipp Körner:
Measuring Coverage of Prolog Programs Using Mutation Testing. - Roy Cerqueti, Giovanna Ferraro, Antonio Iovanella:
Measuring network resilience through connection patterns. - Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer:
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. - Fabien C. Y. Benureau, Pierre-Yves Oudeyer:
Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits. - Martin Tappler, Bernhard K. Aichernig, Kim Guldstrand Larsen, Florian Lorber:
Learning Timed Automata via Genetic Programming. - Mohsen Hajabdollahi, Reza Esfandiarpoor, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi:
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames. - G. D. Surabhi, Rose Mary Augustine, A. Chockalingam:
On the Diversity of OTFS Modulation in Doubly-Dispersive Channels. - Xian Wu, Ruilong Li, Fang-Lue Zhang, Jian-Cheng Liu, Jue Wang, Ariel Shamir, Shi-Min Hu:
Deep Portrait Image Completion and Extrapolation. - Grzegorz Gluch, Jerzy Marcinkowski, Piotr Ostropolski-Nalewaja:
The First Order Truth behind Undecidability of Regular Path Queries Determinacy. - Ingmar Dasseville, Marc Denecker:
Transpiling Programmable Computable Functions to Answer Set Programs. - Abhinav Dhall, Amanjot Kaur, Roland Goecke, Tom Gedeon:
EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction. - Stefan Ohrhallinger, Michael Wimmer:
StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples. - Dinesh Jayaraman, Frederik Ebert, Alexei A. Efros, Sergey Levine:
Time-Agnostic Prediction: Predicting Predictable Video Frames. - Thom W. Frühwirth, Daniel Gall:
Exploring Parallel Execution Strategies for Constraint Handling Rules - Work-in-Progress Report. - Niluthpol Chowdhury Mithun, Rameswar Panda, Evangelos E. Papalexakis, Amit K. Roy-Chowdhury:
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval. - Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High quality ultrasonic multi-line transmission through deep learning. - Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High frame-rate cardiac ultrasound imaging with deep learning. - Matthew A. Hammer, Joshua Dunfield, Kyle Headley, Monal Narasimhamurthy, Dimitrios J. Economou:
Fungi: Typed incremental computation with names. - Vincenzo Arceri, Isabella Mastroeni:
An Automata-based Abstract Semantics for String Manipulation Languages. - Devangi N. Parikh, Margaret E. Myers, Richard W. Vuduc, Robert A. van de Geijn:
A Simple Methodology for Computing Families of Algorithms. - Jiajia Guo, Wei Yu, Jinhong Yuan:
Enhancing Cellular Performance through Device-to-Device Distributed MIMO. - Ahmed Arafa, Wonjae Shin, Mojtaba Vaezi, H. Vincent Poor:
Secure Relaying in Non-Orthogonal Multiple Access: Trusted and Untrusted Scenarios. - Zhirui Zhang, Shuo Ren, Shujie Liu, Jianyong Wang, Peng Chen, Mu Li, Ming Zhou, Enhong Chen:
Style Transfer as Unsupervised Machine Translation. - Barbara J. Grosz, Peter Stone:
A Century Long Commitment to Assessing Artificial Intelligence and its Impact on Society. - Michael Schaarschmidt, Alexander Kuhnle, Ben Ellis, Kai Fricke, Felix Gessert, Eiko Yoneki:
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations. - Nicolas Ford, Daniel Duckworth, Mohammad Norouzi, George E. Dahl:
The Importance of Generation Order in Language Modeling. - Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe:
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional. - Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher:
Improving Abstraction in Text Summarization. - Ankush Desai, Shromona Ghosh, Sanjit A. Seshia, Natarajan Shankar, Ashish Tiwari:
SOTER: Programming Safe Robotics System using Runtime Assurance. - Philipe De Meyer, Jan Claes:
An overview of process model quality literature - The Comprehensive Process Model Quality Framework. - Steve Yang, Jason Rosenfeld, Jacques Makutonin:
Financial Aspect-Based Sentiment Analysis using Deep Representations. - Victor Vaquero, Iván del Pino, Francesc Moreno-Noguer, Joan Solà, Alberto Sanfeliu, Juan Andrade-Cetto:
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios. - Lars-Åke Fredlund, Julio Mariño, Sergio Pérez, Salvador Tamarit:
Runtime verification in Erlang by using contracts. - Sergio Pérez, Salvador Tamarit:
Enhancing POI testing approach through the use of additional information. - Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Habib Benali:
From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities. - James Fang, Dinesh Parimi, Arjun Dhindsa, Craig B. Schindler, Kristofer S. J. Pister:
Decentralized Control of a Hexapod Robot Using a Wireless Time Synchronized Network. - Siyuan Qi, Wenguan Wang, Baoxiong Jia, Jianbing Shen, Song-Chun Zhu:
Learning Human-Object Interactions by Graph Parsing Neural Networks. - Saeid Sahraei, Pierre Quinton, Michael Gastpar:
The Optimal Memory-Rate Trade-off for the Non-uniform Centralized Caching Problem with Two Files under Uncoded Placement. - Yi-Lin Tuan, Jinzhi Zhang, Yujia Li, Hung-yi Lee:
Proximal Policy Optimization and its Dynamic Version for Sequence Generation. - Jianyu Huang, Chenhan D. Yu, Robert A. van de Geijn:
Implementing Strassen's Algorithm with CUTLASS on NVIDIA Volta GPUs. - Ryutaroh Matsumoto:
Introducing the Perception-Distortion Tradeoff into the Rate-Distortion Theory of General Information Sources. - Charles C. Onu, Lara J. Kanbar, Wissam Shalish, Karen A. Brown, Guilherme M. Sant'Anna, Robert E. Kearney, Doina Precup:
Predicting Extubation Readiness in Extreme Preterm Infants based on Patterns of Breathing. - Lara J. Kanbar, Charles C. Onu, Wissam Shalish, Karen A. Brown, Guilherme M. Sant'Anna, Robert E. Kearney, Doina Precup:
Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants. - Tao Kong, Fuchun Sun, Wen-bing Huang, Huaping Liu:
Deep Feature Pyramid Reconfiguration for Object Detection. - Yahui Li, Yang Li, Yuanyuan Sun:
Online Static Security Assessment of Power Systems Based on Lasso Algorithm. - Mateus de Freitas Virgilio Pereira, Igor Afonso Acampora Prado, Davi Ferreira de Castro, José Manoel Balthazar:
Polynomial Chaos-Based Adaptive Control for Nonlinear Systems. - Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou:
Approximate Distribution Matching for Sequence-to-Sequence Learning. - Ghaith Hattab, Danijela Cabric:
Energy-Efficient Massive IoT Shared Spectrum Access over UAV-enabled Cellular Networks. - Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu:
Reinforcement Learning for Relation Classification from Noisy Data. - Chao Lu, Wei Xu, Hong Shen, Hua Zhang, Xiaohu You:
An Enhanced SCMA Detector Enabled by Deep Neural Network. - Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao:
A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations. - Bernhard Peters, Maryam Baniasadi, Mehdi Baniasadi, Xavier Besseron, Alvaro Estupinan Donoso, Mohammad Mohseni, Gabriele Pozzetti:
The XDEM Multi-physics and Multi-scale Simulation Technology: Review on DEM-CFD Coupling, Methodology and Engineering Applications. - Ming-Chang Lee, Jia-Chun Lin, Ramin Yahyapour:
Hybrid Job-driven Scheduling for Virtual MapReduce Clusters. - Jan Wielemaker, Fabrizio Riguzzi, Bob Kowalski, Torbjörn Lager, Fariba Sadri, Miguel Calejo:
Using SWISH to realise interactive web based tutorials for logic based languages. - Christian Sieber, Korbinian Hagn, Christian Moldovan, Tobias Hoßfeld, Wolfgang Kellerer:
Towards Machine Learning-Based Optimal HAS. - Simon Hilpert, Cord Kaldemeyer, Uwe Krien, Stefan Günther, Clemens Wingenbach, Guido Pleßmann:
The Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in energy system modelling. - Jorge A. Pérez, Simone Tini:
Proceedings Combined 25th International Workshop on Expressiveness in Concurrency and 15th Workshop on Structural Operational Semantics and 15th Workshop on Structural Operational Semantics, EXPRESS/SOS 2018, Beijing, China, September 3, 2018. EPTCS 276, 2018 [contents] - Mario Giulianelli, Jack Harding, Florian Mohnert, Dieuwke Hupkes, Willem H. Zuidema:
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. - Georgios Bakirtzis, Brandon J. Simon, Cody Harrison Fleming, Carl R. Elks:
Looking for a Black Cat in a Dark Room: Security Visualization for Cyber-Physical System Design and Analysis. - Lazar Kats, Marilena Vered, Ayelet Zlotogorski-Hurvitz, Itai Harpaz:
Atherosclerotic carotid plaques on panoramic imaging: an automatic detection using deep learning with small dataset. - Henning Christiansen, Maja H. Kirkeby:
Towards a constraint solver for proving confluence with invariant and equivalence of realistic CHR programs. - Mika Mäntylä, Maëlick Claes, Umar Farooq:
Measuring LDA Topic Stability from Clusters of Replicated Runs. - Joseph Schuchart, Daniel Hackenberg, Robert Schöne, Thomas Ilsche, Ramkumar Nagappan, Michael K. Patterson:
The Shift from Processor Power Consumption to Performance Variations: Fundamental Implications at Scale. - Parisa Nouri, Hirley Alves, Matti Latva-aho:
Performance Analysis of Ultra-Reliable Short Message Decode and Forward Relaying Protocols. - Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images. - Anastasios Kakkavas, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Josef A. Nossek:
Performance Limits of Single-Anchor mm-Wave Positioning. - Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes:
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL). - Charles B. Delahunt, J. Nathan Kutz:
Insect cyborgs: Biological feature generators improve machine learning accuracy on limited data. - Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks. - Juliana Soares Jansen Ferreira, Clarisse Sieckenius de Souza, Rafael Rossi de Mello Brandão, Carla Faria Leitão:
SigniFYI-CDN: merged communicability and usability methods to evaluate notation-intensive interaction. - Claudio S. Pinhanez, Heloisa Candello, Mauro Carlos Pichiliani, Marisa Vasconcelos, Melina Alberio Guerra, Maíra Gatti de Bayser, Paulo Rodrigo Cavalin:
Different but Equal: Comparing User Collaboration with Digital Personal Assistants vs. Teams of Expert Agents. - Michael J. Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu:
An Empirical Study of Rich Subgroup Fairness for Machine Learning. - Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma, Miklós Ruszinkó:
STDP Learning of Image Patches with Convolutional Spiking Neural Networks. - Elissa M. Redmiles:
"Should I Worry?" A Cross-Cultural Examination of Account Security Incident Response. - Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy:
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation. - Haipei Sun, Boxiang Dong, Hui Wang, Ting Yu, Zhan Qin:
Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy. - Rajesh Misra, Kumar S. Ray:
Dual approach for object tracking based on optical flow and swarm intelligence. - Supratik Chakraborty, Dror Fried, Lucas M. Tabajara, Moshe Y. Vardi:
Functional Synthesis via Input-Output Separation. - Sumit Maheshwari, Saurabh Deochake, Ridip De, Anish Grover:
Comparative Study of Virtual Machines and Containers for DevOps Developers. - David Oliveira Aparício, Pedro Ribeiro, Tijana Milenkovic, Fernando Silva:
GoT-WAVE: Temporal network alignment using graphlet-orbit transitions. - Suganya S, Ramesh C, Sumit Maheshwari:
Throughput Optimization of Coexistent LTE-U and WiFi in Next Generation Networks. - Xiran Wang, Jason Juang, Stanley H. Chan:
Automatic Foreground Extraction using Multi-Agent Consensus Equilibrium. - Jiang Wan, Blake S. Pollard, Sujit Rokka Chhetri, Palash Goyal, Mohammad Abdullah Al Faruque, Arquimedes Canedo:
Future Automation Engineering using Structural Graph Convolutional Neural Networks. - Juan Climent Vidal, Enric Cosme-Llópez:
Congruence based proofs of the recognizability theorems for free many-sorted algebras. - Iman Hosseini, Alireza Khayatian, Paknosh Karimaghaee, Mirko Fiacchini, Miguel Angel Davo:
LMI-Based Reset Unknown Input Observer for State Estimation of Linear Uncertain Systems. - Andrew P. Sabelhaus, Adrian K. Agogino:
Inverse Kinematics for Control of Tensegrity Soft Robots: Existence and Optimality of Solutions. - Siddharth Karamcheti, Gideon Mann, David Rosenberg:
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling. - Wei-Chun Lee, Vasilis Livanos, Ruta Mehta, Hari Sundaram:
Resource Allocation Game on Social Networks: Best Response Dynamics and Convergence. - Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, Zhou Yu:
A Visual Attention Grounding Neural Model for Multimodal Machine Translation. - Alexander Broad, Todd D. Murphey, Brenna Argall:
Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics. - Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Sarigrama:
Building a Robust Text Classifier on a Test-Time Budget. - Fangqi Li, Xu-Die Ren, Hao-Nan Guo:
Probabilistic Model of Object Detection Based on Convolutional Neural Network. - Yeman Brhane Hagos, Albert Gubern-Mérida, Jonas Teuwen:
Improving Breast Cancer Detection using Symmetry Information with Deep Learning. - Ion Madrazo Azpiazu, Michael Green, Oghenemaro Anuyah, Maria Soledad Pera:
Can we leverage rating patterns from traditional users to enhance recommendations for children? - Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclei Detection Using Mixture Density Networks. - Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images. - Ron Slossberg, Gil Shamai, Ron Kimmel:
High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks. - Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné:
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. - Yeounoh Chung, Peter J. Haas, Eli Upfal, Tim Kraska:
Unknown Examples & Machine Learning Model Generalization. - Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. - Bo Zhang, Boxiang Dong, Hui Wang:
AuthPDB: Query Authentication for Outsourced Probabilistic Databases. - Rena Elkin, Saad Nadeem, Eldad Haber, Klara Steklova, Hedok Lee, Helene Benveniste, Allen R. Tannenbaum:
GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport. - Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu:
Interpretable Spiculation Quantification for Lung Cancer Screening. - Joseph Chuang, Eric Tsai, Kevin Huang, Jay Fetter:
ParaNet - Using Dense Blocks for Early Inference. - Andrew P. Sabelhaus, Shirley Huajing Zhao, Mallory C. Daly, Ellande Tang, Edward Zhu, Abishek K. Akella, Zeerek A. Ahmad, Vytas SunSpiral, Alice M. Agogino:
Trajectory Tracking Control of a Flexible Spine Robot, With and Without a Reference Input. - Cong Zhou, Michael Horgan, Vivek Kumar, Cristina Vasco, Dan Darcy:
Voice Conversion with Conditional SampleRNN. - Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu:
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. - Bo Zhang, Boxiang Dong, Hui Wang:
Integrity Authentication for SQL Query Evaluation on Outsourced Databases: A Survey. - Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang:
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. - Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. - Yijie Mao, Bruno Clerckx, Victor O. K. Li:
Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission: Spectral and Energy Efficiency Analysis. - M. S. Joshaghani, J. Chang, K. B. Nakshatrala, Matthew G. Knepley:
Composable block solvers for the four-field double porosity/permeability model. - Joon-Mo Park, Chul-joo Lee, Yunseok Jang:
Theory-Driven Automated Content Analysis of Suicidal Tweets : Using Typicality-Based Classification for LDA Dataset. - Liang He, Xianhong Chen, Can Xu, Jia Liu:
Multiobjective Optimization Training of PLDA for Speaker Verification. - Jingbo Jiang, Diego Legrand, Robert Severn, Risto Miikkulainen:
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing. - Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki:
Multi-scale CNN stereo and pattern removal technique for underwater active stereo system. - Aron Laszka, Waseem Abbas, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos:
Detection and Mitigation of Attacks on Transportation Networks as a Multi-Stage Security Game. - Guoyan Wang, Guangyuan Hu, Chuanfeng Li, Li Tang:
Long live the scientists: Tracking the scientific fame of great minds in physics. - Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. - Hyowoon Seo, Jihong Park, Mehdi Bennis, Wan Choi:
Consensus-Before-Talk: Distributed Dynamic Spectrum Access via Distributed Spectrum Ledger Technology. - Bijil Abraham Philip, Manas Jog, Apurv Milind Upasani:
Dr. Tux: A Question Answering System for Ubuntu users. - Patchava Raviteja, Khoa T. Phan, Yi Hong:
Embedded Pilot-Aided Channel Estimation for OTFS in Delay-Doppler Channels. - Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo:
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. - He Huang, Yujing Shen, Jiankai Sun, Cewu Lu:
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset. - John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
Fusion++: Volumetric Object-Level SLAM. - Chunfeng Cui, Zheng Zhang:
Stochastic Collocation with Non-Gaussian Correlated Parameters via a New Quadrature Rule. - Ossama Obeid, Salam Khalifa, Nizar Habash, Houda Bouamor, Wajdi Zaghouani, Kemal Oflazer:
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction. - Fengling Jiang, Bin Kong, Ahsan Adeel, Yun Xiao, Amir Hussain:
Saliency Detection via Bidirectional Absorbing Markov Chain. - Jiang Zhang, Yuanqing Xia, Ganghui Shen:
A Novel Deep Neural Network Architecture for Mars Visual Navigation. - Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
How do Convolutional Neural Networks Learn Design? - Zhichao Zhang, Shugong Xu, Shan Cao, Shunqing Zhang:
Deep Convolutional Neural Network with Mixup for Environmental Sound Classification. - Radu Tudor Ionescu, Andrei M. Butnaru:
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. - Ammar Gilani, Maryam Amirmazlaghani:
Unsupervised Hypergraph Feature Selection via a Novel Point-Weighting Framework and Low-Rank Representation. - Manuela Fischer, Mohsen Ghaffari, Jara Uitto:
Simple Graph Coloring Algorithms for Congested Clique and Massively Parallel Computation. - Rajmohan C, Pranay Lohia, Himanshu Gupta, Siddhartha Brahma, Mauricio A. Hernández, Sameep Mehta:
Efficiently Processing Workflow Provenance Queries on SPARK. - Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Analysis of adversarial attacks against CNN-based image forgery detectors. - Christian Abbet, Meryem M'hamdi, Athanasios Giannakopoulos, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media. - Pascal Hitzler, Adila Krisnadhi:
A Tutorial on Modular Ontology Modeling with Ontology Design Patterns: The Cooking Recipes Ontology. - Jiatao Gu, Yong Wang, Yun Chen, Kyunghyun Cho, Victor O. K. Li:
Meta-Learning for Low-Resource Neural Machine Translation. - Zhong Zhou, Matthias Sperber, Alex Waibel:
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation. - Mark Law, Alessandra Russo, Krysia Broda:
Inductive Learning of Answer Set Programs from Noisy Examples. - Chie Hieida, Takato Horii, Takayuki Nagai:
Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks. - Zenan Zhai, Dat Quoc Nguyen, Karin Verspoor:
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition. - Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt:
The Social Cost of Strategic Classification. - Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu:
Human-centric Indoor Scene Synthesis Using Stochastic Grammar. - Alceu Bissoto, Fábio Perez, Vinícius Ribeiro, Michel Fornaciali, Sandra Avila, Eduardo Valle:
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018. - (Withdrawn) Exploring Recombination for Efficient Decoding of Neural Machine Translation.
- Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. - Arturs Backurs, Liam Roditty, Gilad Segal, Virginia Vassilevska Williams, Nicole Wein:
Towards Tight Approximation Bounds for Graph Diameter and Eccentricities. - Philipp Kindermann, Fabrizio Montecchiani, Lena Schlipf, André Schulz:
Drawing Subcubic 1-Planar Graphs with Few Bends, Few Slopes, and Large Angles. - Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan:
FinBrain: When Finance Meets AI 2.0. - John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern:
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. - Yuan Gao, Haonan Hu, Yue Wu, Xiaoli Chu, Jie Zhang:
Energy Efficient and Fair Resource Allocation for LTE-Unlicensed Uplink Networks: A Two-sided Matching Approach with Partial Information. - Vandit Jain, Prakhar Bansal, Abhinav Kumar Singh, Rajeev Srivastava:
Efficient Single Image Super Resolution using Enhanced Learned Group Convolutions. - Zheng Yang, Hang Lei:
Optimization of Executable Formal Interpreters developed in Higher-order Theorem Proving Systems. - Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Fei Tang, Biwei Xie, Chen Zheng, Xu Wen, Xiwen He, Hainan Ye, Rui Ren:
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads. - Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb:
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams. - Pei Liu, Kai Luo, Da Chen, Tao Jiang, Michail Matthaiou:
Spectral Efficiency Analysis of Multi-Cell Massive MIMO Systems with Ricean Fading. - Süleyman Eken, Eray Aydin, Ahmet Sayar:
DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images. - Hayrunnisa Sari, Süleyman Eken, Ahmet Sayar:
An Approach For Stitching Satellite Images In A Bigdata Mapreduce Framework. - Chengwen Xing, Xin Zhao, Wei Xu, Xiaodai Dong, Geoffrey Ye Li:
A Framework on Hybrid MIMO Transceiver Design based on Matrix-Monotonic Optimization. - Süleyman Eken, Ahmet Sayar:
A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images. - Dongyu Liu, Weiwei Cui, Kai Jin, Yuxiao Guo, Huamin Qu:
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks. - Celina Rebello, Elaine Tavares:
Big Data Privacy Context: Literature Effects On Secure Informational Assets. - Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata:
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. - Kazuya Iwami, Satoshi Ikehata, Kiyoharu Aizawa:
Scale Drift Correction of Camera Geo-Localization using Geo-Tagged Images. - Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, Ting-Zhu Huang:
Rain Streak Removal for Single Image via Kernel Guided CNN. - Amir Soleimani, Nasser M. Nasrabadi, Elias J. Griffith, Jason F. Ralph, Simon Maskell:
Convolutional Neural Networks for Aerial Vehicle Detection and Recognition. - Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun:
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification. - Birgitta Dresp-Langley:
Affine Geometry, Visual Sensation, and Preference for Symmetry of Things in a Thing. - Bo Fu, Xiaoyang Zhao, Yi Li, Xiang-Hai Wang:
Patch-based Contour Prior Image Denoising for Salt and Pepper Noise. - Zied Elloumi, Laurent Besacier, Olivier Galibert, Benjamin Lecouteux:
Analyzing Learned Representations of a Deep ASR Performance Prediction Model. - Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. - Jinming Duan, Ghalib Bello, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Carlo Biffi, Antonio de Marvao, Georgia Doumou, Declan P. O'Regan, Daniel Rueckert:
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach. - Ahmad A. Masoud, Ali Al-Shaikhi:
Sensor-based, time-critical mobility of autonomous robots in cluttered spaces: a harmonic potential approach. - Zhengqi Li, Noah Snavely:
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering. - Xinlei Pan, Sung-Li Chiang, John F. Canny:
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data. - Ryan G. James, Jeffrey Emenheiser, James P. Crutchfield:
A Perspective on Unique Information: Directionality, Intuitions, and Secret Key Agreement. - Pasquale Minervini, Sebastian Riedel:
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge. - Ganapati Bhat, Ranadeep Deb, Vatika Vardhan Chaurasia, Holly Shill, Ümit Y. Ogras:
Online Human Activity Recognition using Low-Power Wearable Devices. - Nalin Jayaweera, Nandana Rajatheva, Matti Latva-aho:
Autonomous Driving without a Burden: View from Outside with Elevated LiDAR. - Samuel Yeom, Michael Carl Tschantz:
Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews. - James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi:
Semi-Supervised Event Extraction with Paraphrase Clusters. - James Ferguson, Janara Christensen, Edward Li, Edgar Gonzàlez:
Identifying Domain Adjacent Instances for Semantic Parsers. - Jundong Li, Liang Wu, Huan Liu:
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation. - Jinchuan Tang, Gaojie Chen, Justin P. Coon:
Secrecy Performance Analysis of UAV Transmissions Subject to Eavesdropping and Jamming. - Felix Burgstaller, Bernd Neumayr, Emanuel Sallinger, Michael Schrefl:
Rule Module Inheritance with Modification Restrictions. - Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi:
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings. - Lily Hu, Nicole Immorlica, Jennifer Wortman Vaughan:
The Disparate Effects of Strategic Manipulation. - Jens Aagaard, Hans Hüttel, Mathias Jakobsen, Mikkel Kettunen:
Context-Free Session Types for Applied Pi-Calculus. 3-18 - James Hoey, Irek Ulidowski, Shoji Yuen:
Reversing Parallel Programs with Blocks and Procedures. 69-86 - Chun Tian, Davide Sangiorgi:
Unique Solutions of Contractions, CCS, and their HOL Formalisation. 122-139 - Doriana Medic, Claudio Antares Mezzina, Iain Phillips, Nobuko Yoshida:
A Parametric Framework for Reversible Pi-Calculi. 87-103 - Chaitanya Poolla, Abraham K. Ishihara:
Localized solar power prediction based on weather data from local history and global forecasts. - Jiahui Qiu, Qi Wang, Yangming Zhou, Tong Ruan, Ju Gao:
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions. - Kwangsoo Shin, Junhyeong Jeon, Seungbin Lee, Boyoung Lim, Minsoo Jeong, Jongho Nang:
Approach for Video Classification with Multi-label on YouTube-8M Dataset. - Jorge A. Balazs, Edison Marrese-Taylor, Yutaka Matsuo:
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations. - Somnuk Phon-Amnuaisuk, Ken T. Murata, Praphan Pavarangkoon, Kazunori Yamamoto, Takamichi Mizuhara:
Exploring the Applications of Faster R-CNN and Single-Shot Multi-box Detection in a Smart Nursery Domain. - Zixuan Huang, Junming Fan, Shuai Yi, Xiaogang Wang, Hongsheng Li:
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion. - Glenn Galvizo, Lipyeow Lim:
Empirical Analysis of Common Subgraph Isomorphism Approaches to the Lost-in-Space Star Identification Problem. - Xibin Song, Yuchao Dai, Xueying Qin:
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis. - Moa Lee, Joon-Hyuk Chang:
Augmenting Bottleneck Features of Deep Neural Network Employing Motor State for Speech Recognition at Humanoid Robots. - Philippe Wenger, Damien Chablat:
Kinetostatic analysis and solution classification of a class of planar tensegrity mechanisms. - Laurent Beaudou, Giacomo Kahn, Matthieu Rosenfeld:
Bisplit graphs satisfy the Chen-Chvátal conjecture. - Morgane Hamon, Rémy Ramadour, Jérémy Frey:
Exploring Biofeedback with a Tangible Interface Designed for Relaxation. - Jiahui Yu, Yuchen Fan, Jianchao Yang, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas Huang:
Wide Activation for Efficient and Accurate Image Super-Resolution. - Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder:
Predefined Sparseness in Recurrent Sequence Models. - Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun:
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. - Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu:
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. - Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization. - Victor Rivera, Bertrand Meyer:
AutoAlias: Automatic Variable-Precision Alias Analysis for Object-Oriented Programs. - Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann:
Generalisation in humans and deep neural networks. - Jessa Bekker, Jesse Davis:
Learning from Positive and Unlabeled Data under the Selected At Random Assumption. - Aarne Talman, Anssi Yli-Jyrä, Jörg Tiedemann:
Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture. - Yuanlong Chen:
On the convergence of optimistic policy iteration for stochastic shortest path problem. - Aaqib Saeed, Tanir Ozcelebi, Stojan Trajanovski, Johan Lukkien:
Learning behavioral context recognition with multi-stream temporal convolutional networks. - Iyad A. Kanj, Christian Komusiewicz, Manuel Sorge, Erik Jan van Leeuwen:
Solving Partition Problems Almost Always Requires Pushing Many Vertices Around. - Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra:
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. - Shin Kamada, Takumi Ichimura, Toshihide Harada:
Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by using C4.5. - Liu Liu, Hongdong Li, Yuchao Dai:
Deep Stochastic Attraction and Repulsion Embedding for Image Based Localization. - Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Improving Cross-Lingual Word Embeddings by Meeting in the Middle. - Alon Rozental, Daniel Fleischer, Zohar Kelrich:
Amobee at IEST 2018: Transfer Learning from Language Models. - Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper:
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. - Samad Ali, Walid Saad, Nandana Rajatheva:
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction. - Juliao Braga, João Nuno Silva, Patricia Takako Endo, Nizam Omar:
Theoretical Foundations of the A2RD Project: Part I. - Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun:
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. - Mojtaba Shahin, Mansooreh Zahedi, Muhammad Ali Babar, Liming Zhu:
An Empirical Study of Architecting for Continuous Delivery and Deployment. - Xiao Song, Xu Zhao, Liangji Fang, Tianwei Lin:
Discriminative Representation Combinations for Accurate Face Spoofing Detection. - Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein:
A new Taxonomy of Continuous Global Optimization Algorithms. - Dimitri Surinx, Jan Van den Bussche:
A Monotone Preservation Result for Boolean Queries Expressed as a Containment of Conjunctive Queries. - Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott:
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. - Ana Valeria González-Garduño, Isabelle Augenstein, Anders Søgaard:
A strong baseline for question relevancy ranking. - Wen Tian, Zhenzhen Jiao, Min Liu, Meng Zhang, Dong Li:
Cooperative Communication based Connectivity Recovery for UAV Networks. - Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno:
WiSeBE: Window-based Sentence Boundary Evaluation. - Tachporn Sanguanpuak, Nandana Rajatheva, Mehdi Bennis, Dusit Niyato, Matti Latva-aho:
Multi-operator spectrum sharing using matching game in small cells network. - Stefanos Angelidis, Mirella Lapata:
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised. - Nikolay Bogoychev, Marcin Junczys-Dowmunt, Kenneth Heafield, Alham Fikri Aji:
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation. - Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
A Study of Reinforcement Learning for Neural Machine Translation. - Pushparaja Murugan:
Facial Information Recovery from Heavily Damaged Images using Generative Adversarial Network- PART 1. - Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou, Vladimir Savic:
Piecewise Linear Approximation in Data Streaming: Algorithmic Implementations and Experimental Analysis. - Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. - Chen Luo, Michael J. Carey:
Efficient Data Ingestion and Query Processing for LSM-Based Storage Systems. - Mitali Bafna, Badih Ghazi, Noah Golowich, Madhu Sudan:
Communication-Rounds Tradeoffs for Common Randomness and Secret Key Generation. - David Doty, Mahsa Eftekhari:
Efficient size estimation and impossibility of termination in uniform dense population protocols. - Zhenguo Nie, Haoliang Jiang, Levent Burak Kara:
Deep Learning for Stress Field Prediction Using Convolutional Neural Networks. - Patrizio Angelini, Peter Eades, Seok-Hee Hong, Karsten Klein, Stephen G. Kobourov, Giuseppe Liotta, Alfredo Navarra, Alessandra Tappini:
Turning Cliques into Paths to Achieve Planarity. - Natalia V. Loukachevitch, Nicolay Rusnachenko:
Extracting Sentiment Attitudes From Analytical Texts. - Jason Moulton, Nare Karapetyan, Sharon Bukhsbaum, Chris McKinney, Sharaf Malebary, George Sophocleous, Alberto Quattrini Li, Ioannis M. Rekleitis:
An Autonomous Surface Vehicle for Long Term Operations. - Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. - Gongbo Tang, Matthias Müller, Annette Rios, Rico Sennrich:
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures. - Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih:
Dissecting Contextual Word Embeddings: Architecture and Representation. - Seyed Mostafa Kia, Christian F. Beckmann, Andre F. Marquand:
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data. - Ryan M. Corey, Naoki Tsuda, Andrew C. Singer:
Delay-Performance Tradeoffs in Causal Microphone Array Processing. - Ryan M. Corey, Andrew C. Singer:
Speech Separation Using Partially Asynchronous Microphone Arrays Without Resampling. - Mario Berta, Fernando G. S. L. Brandão, Christian Majenz, Mark M. Wilde:
Conditional Decoupling of Quantum Information. - Octavio Castillo Reyes, Josep de la Puente, José María Cela:
PETGEM: A parallel code for 3D CSEM forward modeling using edge finite elements. - Mariam M. N. Aboelwafa, Mohamed A. Abd-Elmagid, Alessandro Biason, Karim G. Seddik, Tamer A. ElBatt, Michele Zorzi:
Towards Optimal Resource Allocation in Wireless Powered Communication Networks with Non-Orthogonal Multiple Access. - Gurkirt Singh, Suman Saha, Fabio Cuzzolin:
TraMNet - Transition Matrix Network for Efficient Action Tube Proposals. - Peter Khomchuk, Inna Stainvas, Igal Bilik:
Pedestrian Motion Direction Estimation Using Simulated Automotive MIMO Radar. - Anant Raj, Ho Chung Leon Law, Dino Sejdinovic, Mijung Park:
A Differentially Private Kernel Two-Sample Test. - Simon Becker, Yao Zhang, Alpha A. Lee:
Geometry of energy landscapes and the optimizability of deep neural networks. - Pere Giménez-Febrer, Alba Pagès-Zamora, Georgios B. Giannakis:
Matrix completion and extrapolation via kernel regression. - Sunil Pai, Ben Bartlett, Olav Solgaard, David A. B. Miller:
Matrix optimization on universal unitary photonic devices. - Jacob D. Biamonte, Mauro E. S. Morales, Dax Enshan Koh:
Quantum Supremacy Lower Bounds by Entanglement Scaling. - Yasar Sinan Nasir, Dongning Guo:
Deep Reinforcement Learning for Distributed Dynamic Power Allocation in Wireless Networks. - Jesús A. De Loera, Thomas A. Hogan, Deborah Oliveros, Dominic Yang:
Tverberg-Type Theorems with Trees and Cycles as (Nerve) Intersection Patterns. - Piotr Klukowski, Adam Gonczarek:
Towards fully automated protein structure elucidation with NMR spectroscopy. - Nicholas Pun, Robert T. W. Martin, Achim Kempf:
Jumping champions and prime gaps using information-theoretic tools. - Hieu-Thi Luong, Xin Wang, Junichi Yamagishi, Nobuyuki Nishizawa:
Investigating accuracy of pitch-accent annotations in neural network-based speech synthesis and denoising effects. - Takuya Isomura, Taro Toyoizumi:
On the achievability of blind source separation for high-dimensional nonlinear source mixtures. - Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits. - Marco Antonio Rodríguez Flores, Fragkiskos Papadopoulos:
Similarity forces and recurrent components in human face-to-face interaction networks. - Kazuki Fujita, Alexey N. Medvedev, Shinsuke Koyama, Renaud Lambiotte, Shigeru Shinomoto:
Identifying exogenous and endogenous activity in social media. - Alessio Fascista, Angelo Coluccia, Giuseppe Ricci:
Maximum Likelihood based Direct Position Estimation for Mobile Stations in Dense Multipath. - Archontia C. Giannopoulou, O-joung Kwon, Jean-Florent Raymond, Dimitrios M. Thilikos:
Lean tree-cut decompositions: obstructions and algorithms. - Hirokazu Kameoka, Li Li, Shota Inoue, Shoji Makino:
Semi-blind source separation with multichannel variational autoencoder. - Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini, Agrima Seth:
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider. - Saurav R. Tuladhar, Peter Khomchuk, Siva Sivananthan:
Estimating Passenger Loading on Train Cars Using Accelerometer. - Markus Stoye, Johann Brehmer, Gilles Louppe, Juan Pavez, Kyle Cranmer:
Likelihood-free inference with an improved cross-entropy estimator. - Yibo Zeng, Zhongzhi Zhang:
Hitting times and resistance distances of q-triangulation graphs: Accurate results and applications. - Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh, Hadi Kazemi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification. - Dileep George, Alexander Lavin, J. Swaroop Guntupalli, David A. Mély, Nick Hay, Miguel Lázaro-Gredilla:
Cortical Microcircuits from a Generative Vision Model. - Gilles Kratzer, Reinhard Furrer:
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology. - Johannes Lengler, Anders Martinsson, Angelika Steger:
When Does Hillclimbing Fail on Monotone Functions: An entropy compression argument. - Ratko Darda, Martin Milanic, Miguel A. Pizaña:
Searching for square-complementary graphs: non-existence results and complexity of recognition. - Francisco J. Gonzalez, Maciej Balajewicz:
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems. - Mario Berta, Christoph Hirche, Eneet Kaur, Mark M. Wilde:
Amortized Channel Divergence for Asymptotic Quantum Channel Discrimination. - Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. - Muhammad Yousefnezhad, Daoqiang Zhang:
Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis. - Lei Yu:
Beyond the Central Limit Theorem: Universal and Non-universal Simulations of Random Variables by General Mappings. - Laszlo Csirmaz:
Inner approximation algorithm for solving linear multiobjective optimization problems. - Quentin Berthet, Varun Kanade:
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain. - Qi Zhao, Yunchao Liu, Xiao Yuan, Eric Chitambar, Andreas J. Winter:
One-Shot Coherence Distillation: The Full Story. - Elisabetta De Maria, Cinzia Di Giusto, Laetitia Laversa:
Spiking Neural Networks modelled as Timed Automata with parameter learning. - Nicoló Savioli, Giovanni Montana, Pablo Lamata:
V-FCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation. - Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt:
Active Learning based on Data Uncertainty and Model Sensitivity. - (Withdrawn) Semblance: A Rank-Based Kernel on Probability Spaces for Niche Detection.
- Xiaolin Jiang, Hossein Shokri Ghadikolaei, Gábor Fodor, Eytan Modiano, Zhibo Pang, Michele Zorzi, Carlo Fischione:
Low-latency Networking: Where Latency Lurks and How to Tame It. - Andrea Giovannucci, Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii:
Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching. - Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. - Paul J. Atzberger:
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications. - Behrooz Azarkhalili, Ali Saberi, Hamidreza Chitsaz, Ali Sharifi-Zarchi:
Inferring Molecular Pathology and micro-RNA Transcriptome from mRNA Profiles of Cancer Biopsies through Deep Multi-Task Learning. - Sharad Rawat, M. H. Herman Shen:
A novel topology design approach using an integrated deep learning network architecture. - Fernando Mário de Oliveira Filho, Frank Vallentin:
On the integrality gap of the maximum-cut semidefinite programming relaxation in fixed dimension. - Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen:
Acoustic Scene Classification: A Competition Review. - Nora Molkenthin, Malte Schröder, Marc Timme:
Adhesion-induced Discontinuous Transitions and Classifying Social Networks. - Slobodan Milovanovic:
Pricing Financial Derivatives using Radial Basis Function generated Finite Differences with Polyharmonic Splines on Smoothly Varying Node Layouts. - Martine Labbé, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía:
Mixed Integer Linear Programming for Feature Selection in Support Vector Machine. - Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao:
Deep context: end-to-end contextual speech recognition. - Wouter Cames van Batenburg, Rémi de Joannis de Verclos, Ross J. Kang, François Pirot:
Bipartite induced density in triangle-free graphs. - Y. Viero, David Guérin, A. Vladyka, Fabien Alibart, Stéphane Lenfant, M. Calame, Dominique Vuillaume:
Light-stimulable molecules/nanoparticles networks for switchable logical functions and reservoir computing. - Teresa Cortadellas Benítez, Carlos D'Andrea, Eulalia Montoro:
Minimal solutions of the rational interpolation problem. - Júlia Komjáthy, Roland Molontay, Károly Simon:
Modified box dimension of trees and hierarchical scale-free graphs. - Ítalo Romani de Oliveira, Jeffery D. Musiak:
A Method for Estimating the Probability of Extremely Rare Accidents in Complex Systems. - Jodie Pall, Rohitash Chandra, Danial Azam, Tristan Salles, Jody M. Webster, Sally Cripps:
BayesReef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics. - Berkin Bilgic, Itthi Chatnuntawech, Mary Kate Manhard, Qiyuan Tian, Congyu Liao, Stephen F. Cauley, Susie Yi Huang, Jonathan R. Polimeni, Lawrence L. Wald, Kawin Setsompop:
Highly Accelerated Multishot EPI through Synergistic Combination of Machine Learning and Joint Reconstruction. - Thomas K. D. M. Peron, Francisco Aparecido Rodrigues, Luciano da F. Costa:
Pattern Recognition Approach to Violin Shapes of MIMO database. - Prashanth L. A., Shalabh Bhatnagar, Nirav Bhavsar, Michael C. Fu, Steven I. Marcus:
Random directions stochastic approximation with deterministic perturbations. - Paulo F. Gomes, Sandro M. Reia, Francisco A. Rodrigues, José F. Fontanari:
Mobility helps problem-solving systems to avoid Groupthink. - Iñigo Urteaga, Chris H. Wiggins:
Nonparametric Gaussian mixture models for the multi-armed contextual bandit. - Raíza S. Oliveira, Renato J. Cintra, Fábio M. Bayer, Thiago L. T. da Silveira, Arjuna Madanayake, A. Leite:
Low-complexity 8-point DCT Approximation Based on Angle Similarity for Image and Video Coding. - Mahsa Lotfi, Mathukumalli Vidyasagar:
Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions. - Abhishek Kulkarni, Pradeep Kiran Sarvepalli:
Efficiently decoding the 3D toric codes and welded codes on cubic lattices. - Leo Cazenille, Nicolas Bredèche, José Halloy:
Evolutionary optimisation of neural network models for fish collective behaviours in mixed groups of robots and zebrafish. - E. Torre, Stefano Marelli, P. Embrechts, Bruno Sudret:
Data-driven polynomial chaos expansion for machine learning regression. - Mahtab Ahmed, Jumayel Islam, Muhammad Rifayat Samee, Robert E. Mercer:
Identifying Protein-Protein Interaction using Tree LSTM and Structured Attention. - Oren Mangoubi, Natesh S. Pillai, Aaron Smith:
Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities? - Adarsh Subbaswamy, Suchi Saria:
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms. - James Haley, Angel Farguell Caus, Adam K. Kochanski, Sher Schranz, Jan Mandel:
Data Likelihood of Active Fires Satellite Detection and Applications to Ignition Estimation and Data Assimilation. - Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah:
The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. - Alphan Sahin, Rui Yang:
Sequence-Based OOK for Orthogonal Multiplexing of Wake-up Radio Signals and OFDM Waveforms. - Matthew Harding, Carlos Lamarche:
A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment. - Jiahao Chen, Andreas Noack, Alan Edelman:
Fast computation of the principal components of genotype matrices in Julia. - Jinfeng Zeng, Yufeng Wu, Jin-Guo Liu, Lei Wang, Jiangping Hu:
Learning and Inference on Generative Adversarial Quantum Circuits. - Michael R. Kellman, Emrah Bostan, Nicole Repina, Michael Lustig, Laura Waller:
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. - Jianchao Lee, Qiannan Duan, Sifan Bi, Ruen Luo, Yachao Lian, Hanqiang Liu, Ruixing Tian, Jiayuan Chen, Guodong Ma, Jinhong Gao, Zhaoyi Xu:
Machine Learning Promoting Extreme Simplification of Spectroscopy Equipment. - Yuri Fonseca, Marcelo C. Medeiros, Gabriel Vasconcelos, Alvaro Veiga:
BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear Regressions. - György Csomós, Balázs Lengyel:
Mapping the efficiency of international scientific collaboration between cities worldwide. - Bochen Guan, Hanrong Ye, Hong Liu, William A. Sethares:
Target Image Video Search Based on Local Features. - Quan-Hui Liu, Xinyue Xiong, Qian Zhang, Nicola Perra:
Epidemic spreading on time-varying multiplex networks. - Omar Fawzi, Antoine Grospellier, Anthony Leverrier:
Constant overhead quantum fault-tolerance with quantum expander codes. - Maosong Ran, Jinrong Hu, Yang Chen, Hu Chen, Huaiqiang Sun, Jiliu Zhou, Yi Zhang:
Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network. - Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. - Shamik Ghosh, Abhirami Harilal, A. R. Sahasransu, Ritesh Kumar Singh, Satyaki Bhattacharya:
A simulation study to distinguish prompt photon from π0 and beam halo in a granular calorimeter using deep networks. - Nicholas R. Beaton, Mathilde Bouvel, Veronica Guerrini, Simone Rinaldi:
Enumerating five families of pattern-avoiding inversion sequences; and introducing the powered Catalan numbers. - Christos Pelekis:
On the Shannon entropy of the number of vertices with zero in-degree in randomly oriented hypergraphs. - Yu. V. Yechkalo:
Methods of learning of computer simulation of physical processes and phenomena in university. - Herbert Gangl, Gizem Karaali, Woohyung Lee:
Homophonic Quotients of Linguistic Free Groups: German, Korean, and Turkish. - Chenyu You, Yi Zhang, Xiaoliu Zhang, Guang Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, Punam K. Saha, Ge Wang:
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE). - Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman:
Connectivity-Driven Brain Parcellation via Consensus Clustering. - Debajyoti Bera, Subhamoy Maitra, SAPV Tharrmashastha:
Quantum Algorithms for Autocorrelation Spectrum. - Qiushi Cui, Khalil El-Arroudi, Yang Weng:
A Feature Selection Method for High Impedance Fault Detection. - Bolin Gao, Lacra Pavel:
On Passivity, Reinforcement Learning and Higher-Order Learning in Multi-Agent Finite Games. - Lacra Pavel:
Distributed GNE seeking under partial-decision information over networks via a doubly-augmented operator splitting approach. - Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros:
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration. - Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen:
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. - Gang Wang, Georgios B. Giannakis, Jie Chen:
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization. - Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Karna, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee:
CosmoFlow: Using Deep Learning to Learn the Universe at Scale. - Sebastian M. Cioaba, Brandon D. Gilbert, Jack H. Koolen, Brendan D. McKay:
Addressing Johnson graphs, complete multipartite graphs, odd cycles and other graphs. - Alexander New, Kristin P. Bennett:
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. - Catherine Olsson, Surya Bhupatiraju, Tom B. Brown, Augustus Odena, Ian J. Goodfellow:
Skill Rating for Generative Models. - Yohsuke Murase, Hang-Hyun Jo, János Török, János Kertész, Kimmo Kaski:
Structural transition in social networks: The role of homophily. - Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo:
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder. - Nataliia M. Kiianovska, Natalya Rashevska, Serhiy O. Semerikov:
Development of theory and methods of use of information and communication technologies in teaching mathematics of engineering specialities students in the United States. - Derek Feng, Randolf Altmeyer, Derek Stafford, Nicholas A. Christakis, Harrison H. Zhou:
Testing for Balance in Social Networks. - Susan Athey, Guido Imbens:
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption. - Protik Das, Timur Bazhirov:
Electronic properties of binary compounds with high fidelity and high throughput. - Mario Rüttgers, Sangseung Lee, Donghyun You:
Typhoon track prediction using satellite images in a Generative Adversarial Network. - Arabin Kumar Dey, Himanshu Jhamb:
A novel Empirical Bayes with Reversible Jump Markov Chain in User-Movie Recommendation system. - Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira:
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach. - Adrià Garriga-Alonso, Laurence Aitchison, Carl Edward Rasmussen:
Deep Convolutional Networks as shallow Gaussian Processes. - Shayan Gharib, Konstantinos Drossos, Emre Çakir, Dmitriy Serdyuk, Tuomas Virtanen:
Unsupervised adversarial domain adaptation for acoustic scene classification. - Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini:
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. - Guillaume St-Onge, Jean-Gabriel Young, Laurent Hébert-Dufresne, Louis J. Dubé:
Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm. - Maxime Soler, Mélanie Plainchault, Bruno Conche, Julien Tierny:
Lifted Wasserstein Matcher for Fast and Robust Topology Tracking. - Slobodan Milovanovic, Lina von Sydow:
A High Order Method for Pricing of Financial Derivatives using Radial Basis Function generated Finite Differences. - Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira:
Learning Supervised Topic Models for Classification and Regression from Crowds. - Samarth Gupta, Gauri Joshi, Osman Yagan:
Correlated Multi-armed Bandits with a Latent Random Source. - R. Bárcenas, María D. González-Lima, A. J. Quiroz:
A bagging and importance sampling approach to Support Vector Machines. - Jocelyn T. Chi, Ilse C. F. Ipsen:
Randomized Least Squares Regression: Combining Model- and Algorithm-Induced Uncertainties. - Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler:
Decentralized Dictionary Learning Over Time-Varying Digraphs. - Dániel Kondor, Paolo Santi, Kakali Basak, Xiaohu Zhang, Carlo Ratti:
Large-scale estimation of parking requirements for autonomous mobility on demand systems. - Piyush M. Mehta, Richard Linares:
Data-driven framework for real-time thermospheric density estimation. - Jayant Gupchup, Ebrahim Beyrami, Martin Ellis, Yasaman Hosseinkashi, Sam Johnson, Ross Cutler:
On Design of Problem Token Questions in Quality of Experience Surveys. - Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer, Yuanyuan Wang, Xiao Xiang Zhu:
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks. - Mikhail V. Goubko, Alexander Kuznetsov:
Lower bound for the cost of connecting tree with given vertex degree sequence. - Saroj Kumar Dash, Ilya Safro, Ravisutha Sakrepatna Srinivasamurthy:
Spatio-temproal prediction of crimes using network analytic approach. - K. Sjobak, V. K. Berglyd Olsen, R. De Maria, M. Fitterer, A. Santamaría García, H. Garcia-Morales, A. Mereghetti, J. F. Wagner, S. J. Wretborn:
Dynamic simulations in SixTrack. - Hieu-Thi Luong, Junichi Yamagishi:
Multimodal speech synthesis architecture for unsupervised speaker adaptation. - Gary Greaves, Jeven Syatriadi:
Reed-Solomon codes over small fields with constrained generator matrices. - Wenqing Bao, Xiaoqiang Cai, Xianyi Wu:
A General Framework of Multi-Armed Bandit Processes by Arm Switch Restrictions. - Christina Koutsoumpa, Jennifer Keegan, David N. Firmin, Guang-Zhong Yang, Duncan Gillies:
Translational Motion Compensation for Soft Tissue Velocity Images. - Yi-Te Hsu, Yu-Chen Lin, Szu-Wei Fu, Yu Tsao, Tei-Wei Kuo:
A study on speech enhancement using exponent-only floating point quantized neural network (EOFP-QNN). - Johan P. Hansen:
Toric Varieties and Codes, Error-correcting Codes, Quantum Codes, Secret Sharing and Decoding. - Ahmed Abdelreheem, Ahmed M. Nor, Ahmed S. A. Mubarak, Hamada Esmaiel, Ehab Mahmoud Mohamed:
Comparative Study on Millimeter Wave Location-Based Beamforming. - He He, Dongrui Wu:
Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant. - Kun Wang:
Ricean K-factor Estimation based on Channel Quality Indicator in OFDM Systems using Neural Network. - Akihito Noda, Hiroyuki Shinoda:
Inter-IC for Wearables (I2We): Power and Data Transfer over Double-sided Conductive Textile. - Anuththari Gamage, Brian Rappaport, Shuchin Aeron, Xiaozhe Hu:
Multi-View Graph Embedding Using Randomized Shortest Paths. - Attila Szolnoki, Zsuzsa Danku:
Dynamic-sensitive cooperation in the presence of multiple strategy updating rules. - Ali Oskooei, Matteo Manica, Roland Mathis, María Rodríguez Martínez:
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer. - Stanislav Sobolevsky, Ekaterina Levitskaya, Henry Chan, Marc Postle, Constantine E. Kontokosta:
Impact Of Bike Sharing In New York City. - Vishwas Bhargava, Shubhangi Saraf, Ilya Volkovich:
Deterministic Factorization of Sparse Polynomials with Bounded Individual Degree. - Gabi Shalev, Yossi Adi, Joseph Keshet:
Out-of-Distribution Detection using Multiple Semantic Label Representations. - R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Adam Trischler, Yoshua Bengio:
Learning deep representations by mutual information estimation and maximization. - Ryan G. James, Blanca Daniella Mansante Ayala, Bahti Zakirov, James P. Crutchfield:
Modes of Information Flow. - Alex H. Barnett, Jeremy F. Magland, Ludvig af Klinteberg:
A parallel non-uniform fast Fourier transform library based on an "exponential of semicircle" kernel. - Chaitanya Poolla, Abraham K. Ishihara, Rodolfo Milito:
Designing Near-Optimal Policies for Energy Management in a Stochastic Environment. - Daiki Adachi, Naoto Tsujimoto, Ryosuke Akashi, Synge Todo, Shinji Tsuneyuki:
Search for Common Minima in Joint Optimization of Multiple Cost Functions. - Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira:
Scalable Population Synthesis with Deep Generative Modeling. - Umberto Noè, Dirk Husmeier:
On a New Improvement-Based Acquisition Function for Bayesian Optimization. - Luca Messina, Alessio Quaglino, Alexandra Goryaeva, Mihai-Cosmin Marinica, Christophe Domain, Nicolas Castin, Giovanni Bonny, Rolf Krause:
Smart energy models for atomistic simulations using a DFT-driven multifidelity approach. - Peter Khomchuk, Saurav R. Tuladhar, Siva Sivananthan:
Predicting passenger loading level on a train car: A Bayesian approach. - Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang:
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval. - Matthias Joachim Ehrhardt, Pawel Markiewicz, Carola-Bibiane Schönlieb:
Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning. - Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi:
Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces. - Xiaoyu Liu, Jie Chen, Vijayan N. Nair, Agus Sudjianto:
Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning. - Murat Ali Bayir, Mingsen Xu, Yaojia Zhu, Yifan Shi:
Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace. - Ivano Notarnicola, Ying Sun, Gesualdo Scutari, Giuseppe Notarstefano:
Distributed Big-Data Optimization via Block-wise Gradient Tracking. - MicroBooNE collaboration:
A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber. - Anastasios Kakkavas, Mario Hernán Castañeda García, Richard A. Strirling-Gallacher, Josef A. Nossek:
Multi-Array 5G V2V Relative Positioning: Performance Bounds. - Yi Zhou, Zhe Wang, Yingbin Liang:
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. - Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
A Note on Inexact Condition for Cubic Regularized Newton's Method. - Kailiang Wu, Dongbin Xiu:
An Explicit Neural Network Construction for Piecewise Constant Function Approximation. - Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin:
Deep Boosted Regression for MR to CT Synthesis. - Sven Polak, Alexander Schrijver:
New lower bound on the Shannon capacity of C7 from circular graphs. - Dan Rosa de Jesus, Julian Cuevas, Wilson Rivera, Silvia Crivelli:
Capsule Networks for Protein Structure Classification and Prediction. - Clifford Anderson-Bergman, Tamara G. Kolda, Kina Kincher-Winoto:
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables. - Yichen Zhou, Zhengze Zhou, Giles Hooker:
Approximation Trees: Statistical Stability in Model Distillation. - Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk:
Pathologies in information bottleneck for deterministic supervised learning. - Federica Stefanelli, Enrico Imbimbo, Daniele Vilone, Franco Bagnoli, Zoran Levnajic, Andrea Guazzini:
Humans make best use of social heuristics when confronting hard problems in large groups. - Tatsuro Kawamoto, Yoshiyuki Kabashima:
Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection. - Peng Xu, Mokshay M. Madiman, James Melbourne:
An Exact Upper Bound on the Lp Lebesgue Constant and The ∞-Rényi Entropy Power Inequality for Integer Valued Random Variables. - Jian-Xun Wang, Junji Huang, Lian Duan, Heng Xiao:
Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning. - Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape, Eric Bridgeford:
On a 'Two Truths' Phenomenon in Spectral Graph Clustering. - Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, Varsha Ramakrishnan, Jasjeet S. Sekhon, Pieter Abbeel:
Transfer Learning for Estimating Causal Effects using Neural Networks. - Naomi Ehrich Leonard, George Forrest Young, Kelsey Hochgraf, Daniel T. Swain, Aaron Trippe, Willa Chen, Katherine E. Fitch, Susan Marshall:
In the Dance Studio: An Art and Engineering Exploration of Human Flocking. - Enrique Hernández-Lemus, Jesús Espinal-Enríquez, Guillermo de Anda-Jáuregui:
Probabilistic Multilayer Networks. - Laszlo Gyongyosi, Sándor Imre:
Entanglement Availability Differentiation Service for the Quantum Internet. - Jing-Yu Ma, Li Xia, Quan-Lin Li:
Optimal Energy-Efficient Policies for Data Centers through Sensitivity-Based Optimization. - Masatoshi Uehara, Takeru Matsuda, Fumiyasu Komaki:
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance. - Devis Tuia, Michele Volpi, Gabriele Moser:
Decision fusion with multiple spatial supports by conditional random fields. - Andrei Gaidash, Anton Kozubov, George Miroshnichenko:
Overcoming unambiguous state discrimination attack with the help of Schrödinger Cat decoy states. - Christian Glusa, Paritosh Ramanan, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam:
Asynchronous One-Level and Two-Level Domain Decomposition Solvers. - Andrew A. Borkowski, Catherine P. Wilson, Steven A. Borkowski, Lauren A. Deland, Stephen M. Mastorides:
Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer. - Charles C. Onu:
Harnessing Infant Cry for swift, cost-effective Diagnosis of Perinatal Asphyxia in low-resource settings. - Andreas Adolfsson, Margareta Ackerman, N. C. Brownstein:
To Cluster, or Not to Cluster: An Analysis of Clusterability Methods. - Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas:
Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data. - Henning Seidler, Timo de Wolff:
An Experimental Comparison of SONC and SOS Certificates for Unconstrained Optimization. - Wenzhi Fan, Kai Chen, Jing Lu, Jiancheng Tao:
Efficient improvement of frequency-domain Kalman filter. - Yingying Fan, Jinchi Lv, Jingbo Wang:
DNN: A Two-Scale Distributional Tale of Heterogeneous Treatment Effect Inference. - Orowa Sikder, Robert E. Smith, Pierpaolo Vivo, Giacomo Livan:
When facts fail: Bias, polarisation and truth in social networks. - Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura:
Spectral-Pruning: Compressing deep neural network via spectral analysis. - Jiaqi Liang, Linjing Li, Daniel Zeng:
Evolutionary dynamics of cryptocurrency transaction networks: An empirical study. - Samuel Loomis, James P. Crutchfield:
Strong and Weak Optimizations in Classical and Quantum Models of Stochastic Processes. - Alex Chin:
Regression Adjustments for Estimating the Global Treatment Effect in Experiments with Interference. - Filipe Rodrigues, Francisco C. Pereira:
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems. - Pierre Alquier, Paul Doukhan, Xiequan Fan:
Exponential inequalities for nonstationary Markov Chains. - Dan-Bo Zhang, Zheng-Yuan Xue, Shi-Liang Zhu, Z. D. Wang:
Realizing quantum linear regression with auxiliary qumodes. - Douglas Coimbra de Andrade, Sabato Leo, Martin Loesener Da Silva Viana, Christoph Bernkopf:
A neural attention model for speech command recognition. - Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen:
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding. - Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat:
Term Set Expansion based NLP Architect by Intel AI Lab. - Blake Hannaford, Randall A. Bly, Ian Humphreys, Mark Whipple:
Behavior Trees as a Representation for Medical Procedures. - Sebastiaan Paul Mulders, Atindriyo Kusumo Pamososuryo, Gianmarco Emilio Disario, Jan-Willem van Wingerden:
Analysis and optimal individual pitch control decoupling by inclusion of an azimuth offset in the multi-blade coordinate transformation. - Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
NNCubes: Learned Structures for Visual Data Exploration. - Florian Reitz:
Harnessing Historical Corrections to build Test Collections for Named Entity Disambiguation. - Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen:
Modeling and Simulation of Spark Streaming. - Marzieh Fadaee, Christof Monz:
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. - Nischal Shrestha, Titus Barik, Chris Parnin:
It's Like Python But: Towards Supporting Transfer of Programming Language Knowledge. - Xianshan Qu, Xiaopeng Li, John R. Rose:
Review Helpfulness Assessment based on Convolutional Neural Network. - Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat:
On the Fundamental Limit of Private Information Retrieval for Coded Distributed Storage. - Mizanur Rahman, Mhafuzul Islam, Jon Calhoun, Mashrur Chowdhury:
Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy. - Ruy Fabila Monroy, Carlos Hidalgo-Toscano, Clemens Huemer, Dolores Lara, Dieter Mitsche:
Optimal Grid Drawings of Complete Multipartite Graphs and an Integer Variant of the Algebraic Connectivity. - Daniel Neider, Alexander Weinert, Martin Zimmermann:
Robust, Expressive, and Quantitative Linear Temporal Logics. - Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
Pyramidal Recurrent Unit for Language Modeling. - Dominika Tkaczyk, Paraic Sheridan, Jöran Beel:
ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing. - Chico Q. Camargo, Scott A. Hale, Peter John, Helen Z. Margetts:
Volatility in the Issue Attention Economy. - Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. - Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue:
Adversarial Decomposition of Text Representation. - Milad Fozooni, Hien Quoc Ngo, Michail Matthaiou, Shi Jin, George C. Alexandropoulos:
Hybrid Processing Design for Multipair Massive MIMO Relaying with Channel Spatial Correlation. - Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard:
Parameter sharing between dependency parsers for related languages. - Aaron Smith, Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing. - Patrizio Angelini, Michael A. Bekos, Walter Didimo, Luca Grilli, Philipp Kindermann, Tamara Mchedlidze, Roman Prutkin, Antonios Symvonis, Alessandra Tappini:
Greedy Rectilinear Drawings. - Quan Li, Ziming Wu, Lingling Yi, Kristanto Sean N, Huamin Qu, Xiaojuan Ma:
WeSeer: Visual Analysis for Better Information Cascade Prediction of WeChat Articles. - Jinming Wen, Keyu Wu, Chintha Tellambura, Pingzhi Fan:
Closed-Form Word Error Rate Analysis for Successive Interference Cancellation Decoders. - Quan Li, Kristanto Sean Njotoprawiro, Hammad Haleem, Qiaoan Chen, Chris Yi, Xiaojuan Ma:
EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection. - Minghao Wu, Fei Liu, Trevor Cohn:
Evaluating the Utility of Hand-crafted Features in Sequence Labelling. - Gavin Scott, Foaad Khosmood:
A Framework for Complementary Companion Character Behavior in Video Games. - Karthik Rao, William J. Song, Yorai Wardi, Sudhakar Yalamanchili:
TRINITY: Coordinated Performance, Energy and Temperature Management in 3D Processor-Memory Stacks. - Aron Laszka, Waseem Abbas, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos:
Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening. - Paria Jamshid Lou, Mark Johnson:
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model. - Paria Jamshid Lou, Peter Anderson, Mark Johnson:
Disfluency Detection using Auto-Correlational Neural Networks. - Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
N-ary Relation Extraction using Graph State LSTM. - Pengze Liu, Xihui Liu, Junjie Yan, Jing Shao:
Localization Guided Learning for Pedestrian Attribute Recognition. - Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine:
SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning. - Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. - Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, N. Asokan:
All You Need is "Love": Evading Hate-speech Detection. - Mohammad Taher Pilehvar, José Camacho-Collados:
WiC: 10, 000 Example Pairs for Evaluating Context-Sensitive Representations. - Sarah Tan, Julius Adebayo, Kori Inkpen, Ece Kamar:
Investigating Human + Machine Complementarity for Recidivism Predictions. - Tianyao Huang, Yimin Liu, Xingyu Xu, Yonina C. Eldar, Xiqin Wang:
Analysis of Frequency Agile Radar via Compressed Sensing. - Han Ma, Yixin Ma, Jianhao Jiao, M. Usman Maqbool Bhutta, Mohammud Junaid Bocus, Lujia Wang, Ming Liu, Rui Fan:
Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation. - Chin Hei Chan, Enoch Kung, Maosheng Xiong:
Random Matrices from Linear Codes and Wigner's semicircle law. - Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang:
Mapping Natural Language Commands to Web Elements. - Gaolei Li, Jianhua Li, Jun Wu:
Fog-enabled Edge Learning for Cognitive Content-Centric Networking in 5G. - Jonathan Scarlett, Oliver Johnson:
Noisy Non-Adaptive Group Testing: A (Near-)Definite Defectives Approach. - Joseph J. P. Simons:
Psychological Frameworks for Persuasive Information and Communications Technologies. - Mohammad Sharifzadeh, Roozbeh Khodambashi, Wenlong Zhang, Daniel Aukes:
On Locomotion of a Laminated Fish-inspired robot in a Small-to-size Environment. - Mengyuan Cheng, Kai Wan, Fan Wei, Fuyong Zheng, Yongpeng Wu:
MIMO-OFDM Scheme design for Medium Voltage Underground Cables based Power Line Communication. - Hardy, Andreas Vlachos:
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation. - Birgit Hofer, Jorge Mendes:
Proceedings of the 5th International Workshop on Software Engineering Methods in Spreadsheets (SEMS'18). - Kamil Senel, Emil Björnson, Erik G. Larsson:
Humans and Machines can be Jointly Spatially Multiplexed by Massive MIMO. - Dieuwke Hupkes, Sanne Bouwmeester, Raquel Fernández:
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue. - Clara Vania, Andreas Grivas, Adam Lopez:
What do character-level models learn about morphology? The case of dependency parsing. - Wassim Swaileh, Yann Soullard, Thierry Paquet:
A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units. - Bowen Wu, Nan Jiang, Zhifeng Gao, Suke Li, Wenge Rong, Baoxun Wang:
Why Do Neural Response Generation Models Prefer Universal Replies? - Pierre Guillon, Emmanuel Jeandel, Jarkko Kari, Pascal Vanier:
Undecidable word problem in subshift automorphism groups. - Chih-Chun Hsia, Kwei-Herng Lai, Yian Chen, Chuan-Ju Wang, Ming-Feng Tsai:
Representation Learning for Image-based Music Recommendation. - Wenlu Zhao:
A Practical Grid-Partitioning Method Considering the Dynamic VAR Response of Power Grid under Contingency Set. - Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Héloir, Didier Stricker:
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth. - Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. - Julian Gutierrez, Paul Harrenstein, Giuseppe Perelli, Michael Wooldridge:
Nash Equilibrium and Bisimulation Invariance. - Filipe Nunes Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique, Johnnatan Messias, Oana Goga, Fabrício Benevenuto, Krishna P. Gummadi, Elissa M. Redmiles:
On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook. - Nicolas Rivera, Alexandre Stauffer, Thomas Sauerwald, John Sylvester:
The dispersion time of random walks on finite graphs. - Petr Sojka, Michal Ruzicka, Vít Novotný:
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries. - Chadi Trad, Rawad Abou Assi, Wes Masri, Fadi A. Zaraket:
CFAAR: Control Flow Alteration to Assist Repair. - Rawad Abou Assi, Wes Masri, Marwan Maalouf, Chadi Trad:
Is Unit Testing Immune to Coincidental Correctness? - Herman Galteland, Kristian Gjøsteen:
Adversaries monitoring Tor traffic crossing their jurisdictional border and reconstructing Tor circuits. - Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth:
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. - Steven van Rossem, Wouter Tavernier, Didier Colle, Mario Pickavet, Piet Demeester:
Introducing Development Features for Virtualized Network Services. - Tachporn Sanguanpuak, Sudarshan Guruacharya, Nandana Rajatheva, Matti Latva-aho:
Resource Allocation for Co-Primary Spectrum Sharing in MIMO Networks. - Kristopher M. Fair, Cameron Zachreson, Mikhail Prokopenko:
Creating a surrogate commuter network from Australian Bureau of Statistics census data. - Benjamin D. Horne, William Dron, Sibel Adali:
Models for Predicting Community-Specific Interest in News Articles. - Lex Razoux Schultz, Marco Loog, Peyman Mohajerin Esfahani:
Distance Based Source Domain Selection for Sentiment Classification. - Jorge E. Espinosa, Sergio A. Velastin, John Willian Branch:
Motorcycle Classification in Urban Scenarios using Convolutional Neural Networks for Feature Extraction. - Tachporn Sanguanpuak, Sudarshan Guruacharya, Ekram Hossain, Nandana Rajatheva, Matti Latva-aho:
On Spectrum Sharing Among Micro-Operators in 5G. - Robin Rasch, Sven Wachsmuth, Matthias König:
A Joint Motion Model for Human-Like Robot-Human Handover. - Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin:
Neural Task Planning with And-Or Graph Representations. - Juliao Braga, João Nuno Silva, Patricia Takako Endo, Nizam Omar:
A Summary Description of the A2RD Project. - Wolfgang Fuhl, Enkelejda Kasneci:
Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization tools. - Sebastian Bullinger, Christoph Bodensteiner, Michael Arens, Rainer Stiefelhagen:
Stereo 3D Object Trajectory Reconstruction. - Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov, Nigel Collier:
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models. - István Sárándi, Timm Linder, Kai Oliver Arras, Bastian Leibe:
How Robust is 3D Human Pose Estimation to Occlusion? - Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti:
Finding events in temporal networks: Segmentation meets densest-subgraph discovery. - Vanessa L. Kitzie, Ehsan Mohammadi, Amir Karami:
"Life never matters in the DEMOCRATS MIND": Examining Strategies of Retweeted Social Bots During a Mass Shooting Event. - Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark:
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models. - Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva, Anders Søgaard:
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. - Kentaro Yoshioka, Yosuke Toyama, Koichiro Ban, Daisuke Yashima, Shigeru Maya, Akihide Sai, Kohei Onizuka:
PhaseMAC: A 14 TOPS/W 8bit GRO based Phase Domain MAC Circuit for In-Sensor-Computed Deep Learning Accelerators. - Esther Galby, María Pía Mazzoleni, Bernard Ries:
Proper circular arc graphs as intersection graphs of paths on a grid. - Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin:
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation. - Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum:
3D-Aware Scene Manipulation via Inverse Graphics. - Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths:
Evaluating Theory of Mind in Question Answering. - Morgan Gallant, Haruna Isah, Farhana H. Zulkernine:
Automated Query Expansion using High Dimensional Clustering. - Daniel Hershcovich, Omri Abend, Ari Rappoport:
Universal Dependency Parsing with a General Transition-Based DAG Parser. - Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig:
A Tree-based Decoder for Neural Machine Translation. - Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Mining (maximal) span-cores from temporal networks. - Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? - Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov:
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies. - Dongdong Chen, Jiancheng Lv, Mike E. Davies:
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. - Jaydip Sen, Moonkun Lee, Sunghyeon Lee, Yeongbok Choe, Menachem Domb, Arpan Pal, Hemant Kumar Rath, Samar Shailendra, Abhijan Bhattacharyya, Albena Mihovska, Mahasweta Sarkar, Hyun Jung Lee, Myungho Kim, Alexandru Averian:
Internet of Things: Technology, Applications and Standardardization. - Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu:
MedSTS: A Resource for Clinical Semantic Textual Similarity. - Emmanouil Lakiotakis, Christos Liaskos, Xenofontas A. Dimitropoulos:
Application-Network Collaboration Using SDN for Ultra-Low Delay Teleorchestras. - Artuur Leeuwenberg, Marie-Francine Moens:
Temporal Information Extraction by Predicting Relative Time-lines. - Emmanouil Lakiotakis, Christos Liaskos, Xenofontas A. Dimitropoulos:
Improving Networked Music Performance Systems Using Application-Network Collaboration. - Vittorio Bilò, Ioannis Caragiannis, Michele Flammini, Ayumi Igarashi, Gianpiero Monaco, Dominik Peters, Cosimo Vinci, William S. Zwicker:
Almost Envy-Free Allocations with Connected Bundles. - Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan:
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. - Luca E. Schäfer, Tobias Dietz, Nicolas Fröhlich, Stefan Ruzika, José Rui Figueira:
Shortest Paths with Ordinal Weights. - Charles Hessel, Jean-Michel Morel:
Quantitative Evaluation of Base and Detail Decomposition Filters Based on their Artifacts. - Jianmin Guo, Yu Jiang, Yue Zhao, Quan Chen, Jiaguang Sun:
DLFuzz: Differential Fuzzing Testing of Deep Learning Systems. - Manaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das:
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. - Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen:
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. - Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh:
Graphene: A Context-Preserving Open Information Extraction System. - Felix Stahlberg, Adrià de Gispert, Bill Byrne:
The University of Cambridge's Machine Translation Systems for WMT18. - Jan A. Botha, Manaal Faruqui, John Alex, Jason Baldridge, Dipanjan Das:
Learning To Split and Rephrase From Wikipedia Edit History. - Ziran Wang, Guoyuan Wu, Peng Hao, Matthew J. Barth:
Cluster-Wise Cooperative Eco-Approach and Departure Application for Connected and Automated Vehicles along Signalized Arterials. - Marius Musch, Christian Wressnegger, Martin Johns, Konrad Rieck:
Web-based Cryptojacking in the Wild. - Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian:
Residualized Factor Adaptation for Community Social Media Prediction Tasks. - Libby Hemphill, A. J. Million, Ingrid Erickson:
Crafting Moral Infrastructures: How Nonprofits Use Facebook to Survive. - Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian McAuley:
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. - Saeed Banaeian Far, Mahdi R. Alagheband:
Analysis and Improvement of a Lightweight Anonymous Authentication Protocol for Mobile Pay-TV Systems (Full text). - Johanna Johansen, Christian Johansen, Josef Noll:
InfoInternet for Education in the Global South: A Study of Applications Enabled by Free Information-only Internet Access in Technologically Disadvantaged Areas (authors' version). - Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell:
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. - Jaewoo Lee, Daniel Kifer:
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget. - Lucy H. Lin, Scott Miles, Noah A. Smith:
Semantic Matching Against a Corpus: New Applications and Methods. - Li Fan, David I Shuman, Shashanka Ubaru, Yousef Saad:
Spectrum-Adapted Polynomial Approximation for Matrix Functions. - Basma Abdulaimma, Paul Fergus, Carl Chalmers:
Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder. - Victor Vaquero, Alberto Sanfeliu, Francesc Moreno-Noguer:
Deep Lidar CNN to Understand the Dynamics of Moving Vehicles. - Batu K. Chalise, Moeness G. Amin:
Performance Tradeoff in a Unified System of Communications and Passive Radar: A Secrecy Capacity Approach. - Yeow Meng Chee, Tuvi Etzion, Han Mao Kiah, Alexander Vardy, Hengjia Wei:
Low-Power Cooling Codes with Efficient Encoding and Decoding. - Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nathanael Chambers:
Hierarchical Quantized Representations for Script Generation. - Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell:
Towards Semi-Supervised Learning for Deep Semantic Role Labeling. - Yanying Li, Haipei Sun, Boxiang Dong, Hui Wang:
Cost-efficient Data Acquisition on Online Data Marketplaces for Correlation Analysis. - Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester:
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? - David Métivier, Ilia Luchnikov, Michael Chertkov:
Power of Ensemble Diversity and Randomization for Energy Aggregation. - Keerthi Suria Kumar Arumugam, Matthieu R. Bloch:
Embedding Covert Information in Broadcast Communications. - Panagiotis Linardos, Eva Mohedano, Monica Cherto, Cathal Gurrin, Xavier Giró i Nieto:
Temporal Saliency Adaptation in Egocentric Videos. - Bhavtosh Rath, Jisu Kim, Jisu Huh, Jaideep Srivastava:
Impact of News Organizations' Trustworthiness and Social Media Activity on Audience Engagement. - Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian Scherer:
Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming. - Renjie Zheng, Mingbo Ma, Liang Huang:
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation. - Yu Luo, Jianbo Ye, Reginald B. Adams Jr., Jia Li, Michelle G. Newman, James Z. Wang:
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild. - Lucas Correia Villa Real, Bruno Silva:
Full Speed Ahead: 3D Spatial Database Acceleration with GPUs. - Nicholas R. Waytowich, Vinicius G. Goecks, Vernon J. Lawhern:
Cycle-of-Learning for Autonomous Systems from Human Interaction. - Yilin Yang, Liang Huang, Mingbo Ma:
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation. - Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer:
Mapping Language to Code in Programmatic Context. - Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz:
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. - Yi Luan, Luheng He, Mari Ostendorf, Hannaneh Hajishirzi:
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction. - Chengyuan Zhang, Yunwu Lin, Lei Zhu, Zuping Zhang, Yan Tang, Fang Huang:
Efficient Region of Visual Interests Search for Geo-multimedia Data. - Harinaivo Andriatahiny, Jean Jacques Ferdinand Randriamiarampanahy, Toussaint Joseph Rabeherimanana:
Decoding binary Reed-Muller codes via Groebner bases. - Chang Wei Tan, François Petitjean, Geoffrey I. Webb:
Elastic bands across the path: A new framework and methods to lower bound DTW. - Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal:
Auto-generated Spies Increase Test Maintainability. - Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. - He He, Derek Chen, Anusha Balakrishnan, Percy Liang:
Decoupling Strategy and Generation in Negotiation Dialogues. - Chuan-Ming Song, Bo Fu, Xiang-Hai Wang, Ming-Zhe Fu:
Wavelet Video Coding Algorithm Based on Energy Weighted Significance Probability Balancing Tree. - Avikalp Srivastava, Hsin Wen Liu, Sumio Fujita:
From VQA to Multimodal CQA: Adapting Visual QA Models for Community QA Tasks. - Kun Wang:
Unified Receiver Design in Wireless Relay Networks Using Mixed-Integer Programming Techniques. - Kapil Dev, Indrani Paul, Wei Huang, Yasuko Eckert, Wayne Burleson, Sherief Reda:
Implications of Integrated CPU-GPU Processors on Thermal and Power Management Techniques. - Trevor Esward, Sascha Eichstädt, Ian Smith, Thomas Bruns, Peter Davis, Peter Harris:
Estimating dynamic mechanical quantities and their associated uncertainties: application guidance. - Yang Gao, Christian M. Meyer, Iryna Gurevych:
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. - Qiushi Cui, Yang Weng, Chin-Woo Tan:
Electric Vehicle Charging Station Placement Method for Urban Areas. - Xiaohuan Wu, Wei-Ping Zhu, Min Lin, Jun Yan:
Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications. - Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-based Survival Analysis for Lung Cancer Patients using CNNs. - Felix Stahlberg, Danielle Saunders, Bill Byrne:
An Operation Sequence Model for Explainable Neural Machine Translation. - M. Usman Maqbool Bhutta, Ming Liu:
PCR-Pro: 3D Sparse and Different Scale Point Clouds Registration and Robust Estimation of Information Matrix For Pose Graph SLAM. - Davide Cozzolino, Luisa Verdoliva:
Camera-based Image Forgery Localization using Convolutional Neural Networks. - Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze, Johan Bos:
What can we learn from Semantic Tagging? - Yi-Ting Huang, Meng Chang Chen, Yeali S. Sun:
Characterizing the Influence of Features on Reading Difficulty Estimation for Non-native Readers. - Bennett Kleinberg, Maximilian Mozes, Isabelle van der Vegt:
Identifying the sentiment styles of YouTube's vloggers. - Thom Castermans, Mereke van Garderen, Wouter Meulemans, Martin Nöllenburg, Xiaoru Yuan:
Short Plane Supports for Spatial Hypergraphs. - Vincent Lostanlen, Joakim Andén, Mathieu Lagrange:
Extended playing techniques: The next milestone in musical instrument recognition. - Yi-Ting Huang, Meng Chang Chen, Yeali S. Sun:
Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes. - Barbara Plank, Zeljko Agic:
Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging. - Yi-Ting Huang, Meng Chang Chen, Yeali S. Sun:
Bringing personalized learning into computer-aided question generation. - Madhumita Sushil, Simon Suster, Walter Daelemans:
Rule induction for global explanation of trained models. - Andreas Kurth, Pirmin Vogel, Andrea Marongiu, Luca Benini:
Scalable and Efficient Virtual Memory Sharing in Heterogeneous SoCs with TLB Prefetching and MMU-Aware DMA Engine. - Ivan Pashchenko, Henrik Plate, Serena Elisa Ponta, Antonino Sabetta, Fabio Massacci:
Vulnerable Open Source Dependencies: Counting Those That Matter. - Markus Borg, Daniel Brytting, Daniel Hansson:
Enabling Visual Design Verification Analytics - From Prototype Visualizations to an Analytics Tool using the Unity Game Engine. - Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
Optimal Linear Broadcast Rates of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions. - Kwei-Herng Lai, Ting-Hsiang Wang, Heng-Yu Chi, Yian Chen, Ming-Feng Tsai, Chuan-Ju Wang:
Superhighway: Bypass Data Sparsity in Cross-Domain CF. - Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang:
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. - Bingjie Xu, Junnan Li, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Interact as You Intend: Intention-Driven Human-Object Interaction Detection. - Rajesh P. Barnwal, Nirnay Ghosh, Soumya K. Ghosh, Sajal K. Das:
PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data. - Ahmed Fares, Walid Gomaa, Mohamed A. Khamis:
MARL-FWC: Optimal Coordination of Freeway Traffic Control Measures. - Mayra Albuquerque, Thibaut Vidal:
An Efficient Matheuristic for the Minimum-Weight Dominating Set Problem. - Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Road Topology Extraction. - Tachporn Sanguanpuak, Sudarshan Guruacharya, Ekram Hossain, Matti Latva-aho:
Inter-Operator Infrastructure Sharing: Trade-offs and Market. - Adrien Ali Taïga, Aaron C. Courville, Marc G. Bellemare:
Approximate Exploration through State Abstraction. - Tachporn Sanguanpuak, Sudarshan Guruacharya, Nandana Rajatheva, Matti Latva-aho:
Edge Caching for Cache Intensity under Probabilistic Delay Constraint. - Ahsan Adeel, Mandar Gogate, Amir Hussain:
Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments. - Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams. - An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Searching Toward Pareto-Optimal Device-Aware Neural Architectures. - He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow:
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. - Qi Dong, Yu Chen, Xiaohua Li, Kai Zeng:
A Survey on Simulation Tools and Testbeds for Cognitive Radio Networks Study. - Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-Lingual Named Entity Recognition with Minimal Resources. - Mahdi H. Miraz, Maaruf Ali, Peter S. Excell, Richard Picking:
Internet of Nano-Things, Things and Everything: Future Growth Trends. - Clara Fernandez-Labrador, José M. Fácil, Alejandro Pérez-Yus, Cédric Demonceaux, Josechu J. Guerrero:
PanoRoom: From the Sphere to the 3D Layout. - Aboubakr Aqle, Kamran Khowaja, Dena Al-Thani:
Accessibility or Usability of InteractSE? A Heuristic Based Approach to Evaluate Proposed Search Engine for the Visually Impaired Users. - Shi Yin, Yi Zhou, Chenguang Li, Shangfei Wang, Jianmin Ji, Xiaoping Chen, Ruili Wang:
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation. - Javid Dadashkarimi, Alexander R. Fabbri, Sekhar Tatikonda, Dragomir R. Radev:
Zero-shot Transfer Learning for Semantic Parsing. - Peng Zhang, Zhan Su, Lipeng Zhang, Benyou Wang, Dawei Song:
A Quantum Many-body Wave Function Inspired Language Modeling Approach. - Swathikiran Sudhakaran, Oswald Lanz:
Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos. - Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Review Helpfulness Prediction with Embedding-Gated CNN. - Carson D. Sestili, William S. Snavely, Nathan M. VanHoudnos:
Towards security defect prediction with AI. - Joshua Wissbroecker, F. Maxwell Harper:
Early Lessons from a Voice-Only Interface for Finding Movies. - Alexander Span, Vahid Aref, Henning Bülow, Stephan ten Brink:
Precoding for Dual Polarization Soliton Transmission. - Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen, Kaile Su:
Dropout with Tabu Strategy for Regularizing Deep Neural Networks. - Hang Chen, Utkarsh Soni, Yafeng Lu, Ross Maciejewski, Stephen G. Kobourov:
Same Stats, Different Graphs (Graph Statistics and Why We Need Graph Drawings). - Jeffrey M. Ede:
Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and Compression. - Nicola De Cao, Wilker Aziz, Ivan Titov:
Question Answering by Reasoning Across Documents with Graph Convolutional Networks. - Oana Balmau, Rachid Guerraoui, Anne-Marie Kermarrec, Alexandre Maurer, Matej Pavlovic, Willy Zwaenepoel:
Limiting the Spread of Fake News on Social Media Platforms by Evaluating Users' Trustworthiness. - Xu Wang, Randall A. Berry, Ivan Vukovic, Jayanthi Rao:
A fixed-point model for semi-persistent scheduling of vehicular safety messages. - Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-based Neural Text Segmentation. - Colin Cherry, George Foster, Ankur Bapna, Orhan Firat, Wolfgang Macherey:
Revisiting Character-Based Neural Machine Translation with Capacity and Compression. - Roman A. Solovyev, Alexandr A. Kalinin, Alexander G. Kustov, Dmitry V. Telpukhov, Vladimir S. Ruhlov:
FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations. - Alina Ene, Huy L. Nguyen, Adrian Vladu:
Submodular Maximization with Packing Constraints in Parallel. - Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos:
Learning End-to-End Goal-Oriented Dialog with Multiple Answers. - Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman:
Grammar Induction with Neural Language Models: An Unusual Replication. - Felice De Luca, Md. Iqbal Hossain, Stephen G. Kobourov, Anna Lubiw, Debajyoti Mondal:
Recognition and Drawing of Stick Graphs. - Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney:
Learning a Policy for Opportunistic Active Learning. - Nicholas Ohi, Kyle Lassak, Ryan M. Watson, Jared Strader, Yixin Du, Chizhao Yang, Gabrielle Hedrick, Jennifer Nguyen, Scott Harper, Dylan Reynolds, Cagri Kilic, Jacob Hikes, Sarah Mills, Conner Castle, Benjamin Buzzo, Nicole Waterland, Jason N. Gross, Yong-Lak Park, Xin Li, Yu Gu:
Design of an Autonomous Precision Pollination Robot. - Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. - Lydia T. Liu, Max Simchowitz, Moritz Hardt:
Group calibration is a byproduct of unconstrained learning. - Shijie Wu, Pamela Shapiro, Ryan Cotterell:
Hard Non-Monotonic Attention for Character-Level Transduction. - Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig:
Retrieval-Based Neural Code Generation. - Wang-Cheng Kang, Mengting Wan, Julian McAuley:
Recommendation Through Mixtures of Heterogeneous Item Relationships. - Luiz A. Zanlorensi, Eduardo José da S. Luz, Rayson Laroca, Alceu S. Britto Jr., Luiz S. Oliveira, David Menotti:
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments. - Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin:
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds. - Mohammmad Farhadi Bajestani, Seyed Soroush Heidari Rahmat Abadi, Seyed Mostafa Derakhshandeh Fard, Roozbeh Khodadadeh:
AAD: Adaptive Anomaly Detection through traffic surveillance videos. - Andrew J. Lohn:
Timelines for In-Code Discovery of Zero-Day Vulnerabilities and Supply-Chain Attacks. - Manuel Bodirsky, Marcello Mamino:
A polynomial-time algorithm for median-closed semilinear constraints. - Paulo C. Bartolomeu, Emanuel Vieira, Joaquim Ferreira:
IOTA Feasibility and Perspectives for Enabling Vehicular Applications. - Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability. - Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu:
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. - Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. - Md. Mehedi Hasan, Tasneem Rahman, Kiok Ahn, Oksam Chae:
Artifacts Detection and Error Block Analysis from Broadcasted Videos. - Zhongzhe Xiao, Ying Chen, Weibei Dou, Zhi Tao, Liming Chen:
MES-P: an Emotional Tonal Speech Dataset in Mandarin Chinese with Distal and Proximal Labels. - Immanuel Amirtharaj, Tai Groot, Behnam Dezfouli:
Profiling and Improving the Duty-Cycling Performance of Linux-based IoT Devices. - Zonghao Huang, Rui Hu, Eric Chan-Tin, Yanmin Gong:
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy. - Md. Kamruzzaman Sarker, David Carral, Adila Alfa Krisnadhi, Pascal Hitzler:
Modeling OWL with Rules: The ROWL Protege Plugin. - Md. Kamruzzaman Sarker, Adila Alfa Krisnadhi, Pascal Hitzler:
OWLAx: A Protege Plugin to Support Ontology Axiomatization through Diagramming. - Md. Kamruzzaman Sarker, Adila Krisnadhi, David Carral, Pascal Hitzler:
Rule-based OWL Modeling with ROWLTab Protege Plugin. - Jian Guan, Yansen Wang, Minlie Huang:
Story Ending Generation with Incremental Encoding and Commonsense Knowledge. - Andy Kitchen, Michela Benedetti:
ExpIt-OOS: Towards Learning from Planning in Imperfect Information Games. - Yu-An Chung, Yuxuan Wang, Wei-Ning Hsu, Yu Zhang, R. J. Skerry-Ryan:
Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis. - Zhongzhe Xiao, Ying Chen, Zhi Tao:
Contribution of Glottal Waveform in Speech Emotion: A Comparative Pairwise Investigation. - Rafael Dowsley, Jörn Müller-Quade, Anderson C. A. Nascimento:
On the Composability of Statistically Secure Random Oblivious Transfer. - René Schuster, Oliver Wasenmüller, Didier Stricker:
Dense Scene Flow from Stereo Disparity and Optical Flow. - Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock:
VirtualIdentity: Privacy-Preserving User Profiling. - Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya, Hang-Hyun Jo, Kimmo Kaski:
Uncovering intimate and casual relationships from mobile phone communication. - H. W. Yu, Beom Hee Lee:
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM. - Krishnamoorthy Dinesh, Jayalal Sarma:
Sensitivity, Affine Transforms and Quantum Communication Complexity. - Christian Hardmeier, Liane Guillou:
Pronoun Translation in English-French Machine Translation: An Analysis of Error Types. - Pierre Hauweele, Alain Hertz, Hadrien Mélot, Bernard Ries, Gauvain Devillez:
Maximum Eccentric Connectivity Index for Graphs with Given Diameter. - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Stefano Coniglio:
Leadership in Singleton Congestion Games: What is Hard and What is Easy. - Shaohan Feng, Wenbo Wang, Dusit Niyato, Dong In Kim, Ping Wang:
Competitive Data Trading in Wireless-Powered Internet of Things (IoT) Crowdsensing Systems with Blockchain. - Daniel Kulesz, Stefan Wagner:
Asheetoxy: A Taxonomy for Classifying Negative Spreadsheet-related Phenomena. - Oliver Wasenmüller, René Schuster, Didier Stricker, Karl Leiss, Jürger Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch:
Automated Scene Flow Data Generation for Training and Verification. - Ondrej Klejch, Joachim Fainberg, Peter Bell:
Learning to adapt: a meta-learning approach for speaker adaptation. - Younghun Lee, Seunghyun Yoon, Kyomin Jung:
Comparative Studies of Detecting Abusive Language on Twitter. - Peng Cheng, Ibrahim Ethem Bagci, Utz Roedig, Jeff Yan:
SonarSnoop: Active Acoustic Side-Channel Attacks. - Aboubakr Aqle, Dena Al-Thani, Ali Jaoua:
Analyze Unstructured Data Patterns for Conceptual Representation. - Jiangning Chen, Heinrich Matzinger, Haoyan Zhai, Mi Zhou:
Centroid estimation based on symmetric KL divergence for Multinomial text classification problem. - Wei Shi, Frances Yung, Vera Demberg:
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification. - Michael Feldmann, Christina Kolb, Christian Scheideler:
Self-stabilizing Overlays for high-dimensional Monotonic Searchability. - Cong Liao, Haoti Zhong, Anna Cinzia Squicciarini, Sencun Zhu, David J. Miller:
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation. - Kaj Hänninen, Hans Hansson, Henrik Thane, Mehrdad Saadatmand:
Inadequate Risk Analysis Might Jeopardize The Functional Safety of Modern Systems. - Hanbo Zhang, Xuguang Lan, Xinwen Zhou, Nanning Zheng:
RoI-based Robotic Grasp Detection in Object Overlapping Scenes Using Convolutional Neural Network. - Krzysztof Onak, Baruch Schieber, Shay Solomon, Nicole Wein:
Fully Dynamic MIS in Uniformly Sparse Graphs. - Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. - Mladen Kovacevic, Vincent Y. F. Tan:
Asymptotically Optimal Codes Correcting Fixed-Length Duplication Errors in DNA Storage Systems. - Abduallah A. Mohamed, Christian G. Claudel:
IEA: Inner Ensemble Average within a convolutional neural network. - Albin Andrew Correya, Romain Hennequin, Mickaël Arcos:
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features. - Matan Ben-Yosef, Daphna Weinshall:
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images. - Matús Sulír, Jaroslav Porubän, Ondrej Zoricák:
IDE-Independent Program Comprehension Tools via Source File Overwriting. - Vahid Keshavarzzadeh, Robert M. Kirby, Akil C. Narayan:
Parametric Topology Optimization with Multi-Resolution Finite Element Models. - Victor Mayoral Vilches, Alejandro Hernández Cordero, Asier Bilbao Calvo, Irati Zamalloa Ugarte, Risto Kojcev:
Robot_gym: accelerated robot training through simulation in the cloud with ROS and Gazebo. - Samuel Fiorini, Gwenaël Joret, Oliver Schaudt:
Improved approximation algorithms for hitting 3-vertex paths. - Alfredo Pironti:
Asymptotic analysis of the Friedkin-Johnsen model when the matrix of the susceptibility weights approaches the identity matrix. - Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen:
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. - Ashish Mehta, Adithya Subramanian, Anbumani Subramanian:
Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision. - Pavel Praks, Dejan Brkic:
Symbolic regression based genetic approximations of the Colebrook equation for flow friction. - Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang:
A Unified Analysis of Stochastic Momentum Methods for Deep Learning. - Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc:
Modeling Empathy and Distress in Reaction to News Stories. - Adriano Rivolli, Luís P. F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Towards Reproducible Empirical Research in Meta-Learning. - Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pol Mac Aonghusa:
The Bounded Laplace Mechanism in Differential Privacy. - Thang X. Duong, Roger A. Sauer:
A concise frictional contact formulation based on surface potentials and isogeometric discretization. - Takao Moriyama, Giovanni De Magistris, Michiaki Tatsubori, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Reinforcement Learning Testbed for Power-Consumption Optimization. - Antonio Toral, Sheila Castilho, Ke Hu, Andy Way:
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation. - Chen Gao, Yuliang Zou, Jia-Bin Huang:
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection. - Henry Charlesworth:
Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect Information. - Patrizio Angelini, Michael A. Bekos, Henry Förster, Michael Kaufmann:
On RAC Drawings of Graphs with one Bend per Edge. - Mohammad Dehghani Soltani, Ardimas Andi Purwita, Iman Tavakkolnia, Harald Haas, Majid Safari:
Impact of Device Orientation on Error Performance of LiFi Systems. - Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. - J. Andres Diaz-Pace, Luis Berdún, Alejandro Zunino, Silvia N. Schiaffino:
Towards a Service-oriented Platform for Intelligent Apps in Intermediate Cities. - Saeid Tizpaz-Niari, Pavol Cerný, Ashutosh Trivedi:
Data-Driven Debugging for Functional Side Channels. - Martin Tutek, Jan Snajder:
Iterative Recursive Attention Model for Interpretable Sequence Classification. - Michael A. Bekos, Henry Förster, Christian Geckeler, Lukas Holländer, Michael Kaufmann, Amadäus M. Spallek, Jan Splett:
A Heuristic Approach towards Drawings of Graphs with High Crossing Resolution. - Sourajit Saha, Sharif Amit Kamran, Ali Shihab Sabbir:
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks. - Faraz Idris Khan, Sufian Hameed:
Understanding Security Requirements and Challenges in Internet of Things (IoTs): A Review. - Evmorfia N. Argyriou, Sabine Cornelsen, Henry Förster, Michael Kaufmann, Martin Nöllenburg, Yoshio Okamoto, Chrysanthi N. Raftopoulou, Alexander Wolff:
Orthogonal and Smooth Orthogonal Layouts of 1-Planar Graphs with Low Edge Complexity. - Victor Vaquero, Alberto Sanfeliu, Francesc Moreno-Noguer:
Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles. - Leander Löw, Martin Spindler, Eike Brechmann:
A Self-Attention Network for Hierarchical Data Structures with an Application to Claims Management. - Changqing Zou, Haoran Mo, Ruofei Du, Xing Wu, Chengying Gao, Hongbo Fu:
LUCSS: Language-based User-customized Colourization of Scene Sketches. - Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman:
Fair Algorithms for Learning in Allocation Problems. - Georgios Pitsilis, Heri Ramampiaro, Helge Langseth:
Securing Tag-based recommender systems against profile injection attacks: A comparative study. - Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu:
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang. - Xi Victoria Lin, Richard Socher, Caiming Xiong:
Multi-Hop Knowledge Graph Reasoning with Reward Shaping. - Jiayu Du, Xingyu Na, Xuechen Liu, Hui Bu:
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale. - Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Learning to Describe Differences Between Pairs of Similar Images. - Renjie Zheng, Yilin Yang, Mingbo Ma, Liang Huang:
Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report. - Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar A. Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb:
Proximity Forest: An effective and scalable distance-based classifier for time series. - Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. - Seungjin Lee, Juheon Lee, Kyogu Lee:
Content-based feature exploration for transparent music recommendation using self-attentive genre classification. - Satoshi Egi, Yuichi Nishiwaki:
Non-linear Pattern Matching with Backtracking for Non-free Data Types. - Francesco Vallegra, David Mateo, Grgur Tokic, Roland Bouffanais, Dick K. P. Yue:
Gradual Collective Upgrade of a Swarm of Autonomous Buoys for Dynamic Ocean Monitoring. - Jaap Jumelet, Dieuwke Hupkes:
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items. - Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, Junji Tomita:
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension. - Olga Krestinskaya, Khaled Nabil Salama, Alex Pappachen James:
Learning in Memristive Neural Network Architectures using Analog Backpropagation Circuits. - Soheil Ahmadi, Mansoor Rezghi:
A novel extension of Generalized Low-Rank Approximation of Matrices based on multiple-pairs of transformations. - Maëlick Claes, Mika Mäntylä, Umar Farooq:
On the Use of Emoticons in Open Source Software Development. - Bas Jansen, Felienne Hermans:
The use of Charts, Pivot Tables, and Array Formulas in two Popular Spreadsheet Corpora. - Rongzhao Zhang, Han Zhang, Albert C. S. Chung:
A Unified Mammogram Analysis Method via Hybrid Deep Supervision. - Sebastián Gómez-González, Gerhard Neumann, Bernhard Schölkopf, Jan Peters:
Adaptation and Robust Learning of Probabilistic Movement Primitives. - Florian Strohm, Roman Klinger:
An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs. - Fei Xia, Amir Roshan Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese:
Gibson Env: Real-World Perception for Embodied Agents. - Yilong Yang, Xiaoshan Li, Zhiming Liu, Wei Ke, Quan Zu, Xiaohong Chen:
Automated Prototype Generation from Formal Requirements Model. - Ran Duan, Kaifeng Lyu, Hongxun Wu, Yuanhang Xie:
Single-Source Bottleneck Path Algorithm Faster than Sorting for Sparse Graphs. - Arthur Kramer, Mauro Dell'Amico, Manuel Iori:
Enhanced arc-flow formulations to minimize weighted completion time on identical parallel machines. - Muriel Lang, Urban Fietzek, Jakob Fröhner, Franz Michael Josef Pfister, Daniel Pichler, Kian Abedinpour, Terry Taewoong Um, Dana Kulic, Satoshi Endo, Sandra Hirche:
A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson's Disease. - Cesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi:
A novel graph-based model for hybrid recommendations in cold-start scenarios. - Thomas Fernique, Amir Hashemi, Olga Sizova:
Compact packings of the plane with three sizes of discs. - Philippe Blondeel, Pieterjan Robbe, Cédric van hoorickx, Geert Lombaert, Stefan Vandewalle:
Multilevel Monte Carlo for uncertainty quantification in structural engineering. - Nikolaos Pappas, Lesly Miculicich Werlen, James Henderson:
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation. - Barbara McGillivray, Gard Jenset, Dominik Heil:
Extracting Keywords from Open-Ended Business Survey Questions. - Santiago Pascual, Antonio Bonafonte, Joan Serrà, Jose A. Gonzalez:
Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks. - Aqeel Labash, Ardi Tampuu, Tambet Matiisen, Jaan Aru, Raul Vicente:
APES: a Python toolbox for simulating reinforcement learning environments. - Diane Bouchacourt, Marco Baroni:
How agents see things: On visual representations in an emergent language game. - Atsushi Sakai, Daniel Ingram, Joseph Dinius, Karan Chawla, Antonin Raffin, Alexis Paques:
PythonRobotics: a Python code collection of robotics algorithms. - Jonathan P. Epperlein, Julien Monteil, Mingming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten:
Bayesian Classifier for Route Prediction with Markov Chains. - Ewelina Bartuzi, Katarzyna Roszczewska, Mateusz Trokielewicz, Radoslaw Bialobrzeski:
MobiBits: Multimodal Mobile Biometric Database. - Narayani Vedam, Debasish Ghose:
Influence Dynamics and Consensus in an Opinion-Neighborhood based Modified Vicsek-like Social Network. - Lukas Convent, Sebastian Hungerecker, Martin Leucker, Torben Scheffel, Malte Schmitz, Daniel Thoma:
TeSSLa: Temporal Stream-based Specification Language. - Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Learning Data-adaptive Nonparametric Kernels. - Bartosz Gembala, Anis Yazidi, Hårek Haugerud, Stefano Nichele:
Autonomous Configuration of Network Parameters in Operating Systems using Evolutionary Algorithms. - Elena Arseneva, Prosenjit Bose, Pilar Cano, Anthony D'Angelo, Vida Dujmovic, Fabrizio Frati, Stefan Langerman, Alessandra Tappini:
Pole Dancing: 3D Morphs for Tree Drawings. - Bartley D. Richardson, Benjamin J. Radford, Shawn E. Davis, Keegan Hines, David Pekarek:
Anomaly Detection in Cyber Network Data Using a Cyber Language Approach. - Sudipta Banerjee, Vahid Mirjalili, Arun Ross:
Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition. - David L. Smyth, Frank G. Glavin, Michael G. Madden:
Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones. - Matthew Roddy, Gabriel Skantze, Naomi Harte:
Multimodal Continuous Turn-Taking Prediction Using Multiscale RNNs. - Vikraman Arvind, Abhranil Chatterjee, Rajit Datta, Partha Mukhopadhyay:
Univariate Ideal Membership Parameterized by Rank, Degree, and Number of Generators. - Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Cognate-aware morphological segmentation for multilingual neural translation. - Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Mérialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphaël Troncy, Raúl Vázquez:
The MeMAD Submission to the WMT18 Multimodal Translation Task. - Jia Kan, Shangzhe Chen, Xin Huang:
Improve Blockchain Performance using Graph Data Structure and Parallel Mining. - Oleg V. Shylo, Hesam Shams:
Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling. - Carlos San Vicente Gutiérrez, Lander Usategui San Juan, Irati Zamalloa Ugarte, Victor Mayoral Vilches:
Real-time Linux communications: an evaluation of the Linux communication stack for real-time robotic applications. - Shah Nawaz, Alessandro Calefati, Muhammad Kamran Janjua, Ignazio Gallo:
Seeing Colors: Learning Semantic Text Encoding for Classification. - Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati, Maurizio Patrignani, Vincenzo Roselli:
Upward Planar Morphs. - Alberto Camacho, Meghyn Bienvenu, Sheila A. McIlraith:
Finite LTL Synthesis with Environment Assumptions and Quality Measures. - Sameera Horawalavithana, Clayton Gandy, Juan Arroyo Flores, John Skvoretz, Adriana Iamnitchi:
Diversity, Topology, and the Risk of Node Re-identification in Labeled Social Graphs. - Zachariah Tyree, Robert A. Bridges, Frank L. Combs, Michael R. Moore:
Exploiting the Shape of CAN Data for In-Vehicle Intrusion Detection. - Michael A. Bekos, Martin Gronemann, Michael Kaufmann, Sergey Pupyrev:
Queue Layouts of Planar 3-Trees. - Steven Guan, Amir A. Khan, Siddhartha Sikdar, Parag V. Chitnis:
Fully Dense UNet for 2D Sparse Photoacoustic Tomography Artifact Removal. - Nikita Gordienko, Peng Gang, Yuri Gordienko, Wei Zeng, Oleg Alienin, Oleksandr Rokovyi, Sergii Stirenko:
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti. - Felipe F. Müller, Luis A. A. Meira:
Algoritmos Genéticos Aplicado ao Problema de Roteamento de Veículos. - Homa Hosseinmardi, Amir Ghasemian, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. - Maziar Raissi, Zhicheng Wang, Michael S. Triantafyllou, George E. Karniadakis:
Deep Learning of Vortex Induced Vibrations. - Xin Shi, Robert C. Qiu, Tiebin Mi:
Adversarial Feature Learning of Online Monitoring Data for Operation Reliability Assessment in Distribution Network. - Priscila G. M. dos Santos, Rodrigo S. Sousa, Ismael C. S. Araujo, Adenilton J. da Silva:
Quantum enhanced cross-validation for near-optimal neural networks architecture selection. - Chuang Ma, Bing-Bing Xiang, Han-Shuang Chen, Hai-Feng Zhang:
An improved belief propagation algorithm for detecting meso-scale structure in complex networks. - Touqir Sajed, Wesley Chung, Martha White:
High-confidence error estimates for learned value functions. - Jesus Rodriguez Sanchez, Fredrik Rusek, Muris Sarajlic, Ove Edfors, Liang Liu:
Fully Decentralized Massive MIMO Detection Based on Recursive Methods. - Nazreen P. M., A. G. Ramakrishnan:
Using Monte Carlo dropout for non-stationary noise reduction from speech. - Farhad Farokhi, Henrik Sandberg:
Ensuring Privacy with Constrained Additive Noise by Minimizing Fisher Information. - Maryam Jaberi, Marianna Pensky, Hassan Foroosh:
Probabilistic Sparse Subspace Clustering Using Delayed Association. - Venkat R. Dasari, Mee Seong Im, Billy E. Geerhart:
Complexity and mission computability of adaptive computing systems. - Wen-Chin Huang, Hsin-Te Hwang, Yu-Huai Peng, Yu Tsao, Hsin-Min Wang:
Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders. - Hyejin Shim, Jeeweon Jung, Heesoo Heo, Sunghyun Yoon, Hajin Yu:
Replay attack spoofing detection system using replay noise by multi-task learning. - Chris Junchi Li, Zhaoran Wang, Han Liu:
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes. - Chris Junchi Li, Mengdi Wang, Han Liu, Tong Zhang:
Diffusion Approximations for Online Principal Component Estimation and Global Convergence. - Gorjan Alagic, Stacey Jeffery, Maris Ozols, Alexander Poremba:
On non-adaptive quantum chosen-ciphertext attacks and Learning with Errors. - Yao Qin, Biao Li, Yuanxin Ye:
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification. - Yao Qin, Lorenzo Bruzzone, Biao Li, Yuanxin Ye:
Tensor Alignment based Domain Adaptation for Hyperspectral Image Classification. - Edoardo Vignotto, Sebastian Engelke:
Extreme Value Theory for Open Set Classification - GPD and GEV Classifiers. - Mikael Vejdemo-Johansson, Alisa Leshchenko:
Certified Mapper: Repeated testing for acyclicity and obstructions to the nerve lemma. - Zhipeng Liang, Kangkang Jiang, Hao Chen, Junhao Zhu, Yanran Li:
Deep Reinforcement Learning in Portfolio Management. - Nicolas Busca, Christophe Balland:
QuasarNET: Human-level spectral classification and redshifting with Deep Neural Networks. - Timur Bazhirov, E. X. Abot:
Fast and accessible first-principles calculations of vibrational properties of materials. - Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez:
Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster. - Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang:
Differentially Private Change-Point Detection. - Zhihua Dong, Yao-Lung L. Fang, Xiaojing Huang, Hanfei Yan, Sungsoo Ha, Wei Xu, Yong S. Chu, Stuart I. Campbell, Meifeng Lin:
High-Performance Multi-Mode Ptychography Reconstruction on Distributed GPUs. - Michael Kaufmann, János Pach, Géza Tóth, Torsten Ueckerdt:
The number of crossings in multigraphs with no empty lens. - Zhi-Qin John Xu, Jennifer Crodelle, Douglas Zhou, David Cai:
Maximum Entropy Principle Analysis in Network Systems with Short-time Recordings. - M. D. Zadid Khan, Sakib Mahmud Chowdhury, Mashrur Chowdhury, Kakan C. Dey:
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction. - Leann Kopp, Natalie Randall, J. Maurice Rojas, Yuyu Zhu:
Randomized Polynomial-Time Root Counting in Prime Power Rings. - Sven Klaassen, Jannis Kück, Martin Spindler:
Uniform Inference in High-Dimensional Gaussian Graphical Models. - Keisuke Fujii, Yoshinobu Kawahara:
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables. - Alan Preciado-Grijalva, Ramón F. Brena:
Speaker Fluency Level Classification Using Machine Learning Techniques. - Nan Lu, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama:
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data. - Jessica Liebig, Cassie Jansen, Dean Paini, Lauren Gardner, Raja Jurdak:
A global model for predicting the arrival of imported dengue infections. - Dante Kalise, Karl Kunisch, Zhiping Rao:
Sparse and Switching Infinite Horizon Optimal Control with Nonconvex Penalizations. - Patcharin Cheng, Phairot Autthasan, Boriwat Pijarana, Ekapol Chuangsuwanich, Theerawit Wilaiprasitporn:
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning. - Worawate Ausawalaithong, Sanparith Marukatat, Arjaree Thirach, Theerawit Wilaiprasitporn:
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach. - Robert Eggersmann, Trenton Kirchdoerfer, Stefanie Reese, Laurent Stainier, Michael Ortiz:
Model-Free Data-Driven Inelasticity.
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